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BT 34.016 345.991 Td /F1 24.0 Tf [(Evolutionary Operation A Statistical Method For )] TJ ET
BT 34.016 316.687 Td /F1 24.0 Tf [(Process Improvement Wiley Series In Probability )] TJ ET
BT 34.016 287.383 Td /F1 24.0 Tf [(And Statistics Applied Probability And Statistics )] TJ ET
BT 34.016 258.079 Td /F1 24.0 Tf [(Section)] TJ ET
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BT 34.016 361.793 Td /F1 12.0 Tf [(If you ally obsession such a referred )] TJ ET
BT 229.436 361.793 Td /F1 12.0 Tf [(Evolutionary Operation A Statistical Method For Process)] TJ ET
BT 34.016 347.141 Td /F1 12.0 Tf [(Improvement Wiley Series In Probability And Statistics Applied Probability And Statistics Section)] TJ ET
BT 34.016 332.489 Td /F1 12.0 Tf [(ebook that will offer you worth, acquire the categorically best seller from us currently from several )] TJ ET
BT 34.016 317.837 Td /F1 12.0 Tf [(preferred authors. If you desire to comical books, lots of novels, tale, jokes, and more fictions )] TJ ET
BT 34.016 303.185 Td /F1 12.0 Tf [(collections are with launched, from best seller to one of the most current released. )] TJ ET
BT 34.016 274.133 Td /F1 12.0 Tf [(You may not be perplexed to enjoy all book collections Evolutionary Operation A Statistical )] TJ ET
BT 34.016 259.481 Td /F1 12.0 Tf [(Method For Process Improvement Wiley Series In Probability And Statistics Applied Probability )] TJ ET
BT 34.016 244.829 Td /F1 12.0 Tf [(And Statistics Section that we will very offer. It is not something like the costs. Its virtually what you )] TJ ET
BT 34.016 230.177 Td /F1 12.0 Tf [(habit currently. This Evolutionary Operation A Statistical Method For Process Improvement Wiley )] TJ ET
BT 34.016 215.525 Td /F1 12.0 Tf [(Series In Probability And Statistics Applied Probability And Statistics Section, as one of the most )] TJ ET
BT 34.016 200.873 Td /F1 12.0 Tf [(practicing sellers here will very be in the middle of the best options to review.)] TJ ET
BT 34.016 147.821 Td /F1 12.0 Tf [(Alternative Methods of Regression)] TJ ET
BT 217.424 147.821 Td /F1 12.0 Tf [( David Birkes 2011-09-20 Of related interest. Nonlinear )] TJ ET
BT 34.016 133.169 Td /F1 12.0 Tf [(Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ".an )] TJ ET
BT 34.016 118.517 Td /F1 12.0 Tf [(extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear )] TJ ET
BT 34.016 103.865 Td /F1 12.0 Tf [(regression models.highly recommend[ed].for anyone needing to use and/or understand issues )] TJ ET
BT 34.016 89.213 Td /F1 12.0 Tf [(concerning the analysis of nonlinear regression models." --Technometrics This book provides a )] TJ ET
BT 34.016 74.561 Td /F1 12.0 Tf [(balance between theory and practice supported by extensive displays of instructive geometrical )] TJ ET
BT 34.016 59.909 Td /F1 12.0 Tf [(constructs. Numerous in-depth case studies illustrate the use of nonlinear regression analysis--)] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(with all data sets real. Topics include: multi-response parameter estimation; models defined by )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(systems of differential equations; and improved methods for presenting inferential results of )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(nonlinear analysis. 1988 \(0-471-81643-4\) 365 pp. Nonlinear Regression G. A. F. Seber and C. J. )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(Wild ".[a] comprehensive and scholarly work.impressively thorough with attention given to every )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(aspect of the modeling process." --Short Book Reviews of the International Statistical Institute In )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(this introduction to nonlinear modeling, the authors examine a wide range of estimation techniques )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(including least squares, quasi-likelihood, and Bayesian methods, and discuss some of the )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(problems associated with estimation. The book presents new and important material relating to the )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(concept of curvature and its growing role in statistical inference. It also covers three useful classes )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(of models --growth, compartmental, and multiphase --and emphasizes the limitations involved in )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(fitting these models. Packed with examples and graphs, it offers statisticians, statistical )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(consultants, and statistically oriented research scientists up-to-date access to their fields. 1989 \(0-)] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(471-61760-1\) 768 pp. Mathematical Programming in Statistics T. S. Arthanari and Yadolah Dodge )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [("The authors have achieved their stated intention.in an outstanding and useful manner for both )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(students and researchers.Contains a superb synthesis of references linked to the special topics )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(and formulations by a succinct set of bibliographical notes.Should be in the hands of all system )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(analysts and computer system architects." --Computing Reviews This unique book brings together )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(most of the available results on applications of mathematical programming in statistics, and also )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(develops the necessary statistical and programming theory and methods. 1981 \(0-471-08073-X\) )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(413 pp.)] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(Simulation and the Monte Carlo Method)] TJ ET
BT 245.444 80.753 Td /F1 12.0 Tf [( Reuven Y. Rubinstein 2009-09-25 This book provides the )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(commonalities and their differences for the solution of a wide spectrum of engineering and )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(scientific problems. It contains standard material usually considered in Monte Carlo simulation as )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(well as new material such as variance reduction techniques, regenerative simulation, and Monte )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(Carlo optimization.)] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(The Theory of Canonical Moments with Applications in Statistics, Probability, and Analysis)] TJ ET
BT 512.192 329.837 Td /F1 12.0 Tf [( Holger )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(Dette 1997-09-08 This new material is concerned with the theory and applications of probability, )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(statistics and analysis of canonical moments. It provides a powerful tool for the determination of )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(optimal experimental designs, for the calculation of the main characteristics of random walks, and )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(for other moment problems appearing in probability and statistics.)] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(Statistical Methods in Spatial Epidemiology)] TJ ET
BT 262.772 256.577 Td /F1 12.0 Tf [( Andrew B. Lawson 2013-07-08 Spatial epidemiology is )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(the description and analysis of the geographical distribution of disease. It is more important now )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(than ever, with modern threats such as bio-terrorism making such analysis even more complex. )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(offer a complete coverage of the analysis and application of spatial statistical methods. The book )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(is divided into two main sections: Part 1 introduces basic definitions and terminology, along with )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(map construction and some basic models. This is expanded upon in Part II by applying this )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(infectious disease modelling. Provides a comprehensive overview of the main statistical methods )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(used in spatial epidemiology. Updated to include a new emphasis on bio-terrorism and disease )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(surveillance. Emphasizes the importance of space-time modelling and outlines the practical )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(application of the method. Discusses the wide range of software available for analyzing spatial )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(software. Contains numerous data sets, each representing a different approach to the analysis, )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(and provides an insight into various modelling techniques. This text is primarily aimed at medical )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(statisticians, researchers and practitioners from public health and epidemiology. It is also suitable )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(for postgraduate students of statistics and epidemiology, as well professionals working in )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(government agencies.)] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(Statistics for Spatial Data)] TJ ET
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34.016 313.205 m 168.068 313.205 l S
BT 168.068 315.185 Td /F1 12.0 Tf [( Noel Cressie 2015-03-18 The Wiley Classics Library consists of selected )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(books that have been made more accessible to consumers in an effort to increase global appeal )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(lives of these works by making them available to future generations of statisticians, )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(mathematicians, and scientists. Spatial statistics — analyzing spatial data through statistical )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(models — has proven exceptionally versatile, encompassing problems ranging from the )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(microscopic to the astronomic. However, for the scientist and engineer faced only with scattered )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(and uneven treatments of the subject in the scientific literature, learning how to make practical use )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(of spatial statistics in day-to-day analytical work is very difficult. Designed exclusively for scientists )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(eager to tap into the enormous potential of this analytical tool and upgrade their range of technical )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(skills, Statistics for Spatial Data is a comprehensive, single-source guide to both the theory and )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(applied aspects of spatial statistical methods. The hard-cover edition was hailed by Mathematical )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(Reviews as an "excellent book which will become a basic reference." This paper-back edition of )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(the 1993 edition, is designed to meet the many technological challenges facing the scientist and )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(engineer. Concentrating on the three areas of geostatistical data, lattice data, and point patterns, )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(the book sheds light on the link between data and model, revealing how design, inference, and )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(diagnostics are an outgrowth of that link. It then explores new methods to reveal just how spatial )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(statistical models can be used to solve important problems in a host of areas in science and )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(engineering. Discussion includes: Exploratory spatial data analysis Spectral theory for stationary )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(processes Spatial scale Simulation methods for spatial processes Spatial bootstrapping Statistical )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(image analysis and remote sensing Computational aspects of model fitting Application of models )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(to disease mapping Designed to accommodate the practical needs of the professional, it features )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(a unified and common notation for its subject as well as many detailed examples woven into the )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(text, numerous illustrations \(including graphs that illuminate the theory discussed\) and over 1,000 )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(references. Fully balancing theory with applications, Statistics for Spatial Data, Revised Edition is )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(an exceptionally clear guide on making optimal use of one of the ascendant analytical tools of the )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(decade, one that has begun to capture the imagination of professionals in biology, earth science, )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(civil, electrical, and agricultural engineering, geography, epidemiology, and ecology.)] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(Statistical Methods for Forecasting)] TJ ET
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34.016 239.945 m 218.084 239.945 l S
BT 218.084 241.925 Td /F1 12.0 Tf [( Bovas Abraham 2009-09-25 The Wiley-Interscience Paperback )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(Series consists of selected books that have been made more accessible to consumers in an effort )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(to increase global appeal and general circulation. With these new unabridged softcover volumes, )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(Wiley hopes to extend the lives of these works by making them available to future generations of )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(statisticians, mathematicians, and scientists. "This book, it must be said, lives up to the words on )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(its advertising cover: 'Bridging the gap between introductory, descriptive approaches and highly )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(advanced theoretical treatises, it provides a practical, intermediate level discussion of a variety of )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(forecasting tools, and explains how they relate to one another, both in theory and practice.' It does )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(just that!" -Journal of the Royal Statistical Society "A well-written work that deals with statistical )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(methods and models that can be used to produce short-term forecasts, this book has wide-ranging )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(applications. It could be used in the context of a study of regression, forecasting, and time series )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(analysis by PhD students; or to support a concentration in quantitative methods for MBA students; )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(or as a work in applied statistics for advanced undergraduates." -Choice Statistical Methods for )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(Forecasting is a comprehensive, readable treatment of statistical methods and models used to )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(produce short-term forecasts. The interconnections between the forecasting models and methods )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(are thoroughly explained, and the gap between theory and practice is successfully bridged. )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(Special topics are discussed, such as transfer function modeling; Kalman filtering; state space )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(and exercises using real data. Statistical Methods for Forecasting serves as an outstanding )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(textbook for advanced undergraduate and graduate courses in statistics, business, engineering, )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(and the social sciences, as well as a working reference for professionals in business, industry, and )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(government.)] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(Stochastic Processes for Insurance and Finance)] TJ ET
BT 291.464 241.925 Td /F1 12.0 Tf [( Tomasz Rolski 2009-09-25 Stochastic Processes )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(for Insurance and Finance offers a thorough yet accessible reference for researchers and )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(practitioners of insurance mathematics. Building on recent and rapid developments in applied )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(probability, the authors describe in general terms models based on Markov processes, martingales )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(and various types of point processes. Discussing frequently asked insurance questions, the )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(authors present a coherent overview of the subject and specifically address: The principal )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(concepts from insurance and finance Practical examples with real life data Numerical and )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(algorithmic procedures essential for modern insurance practices Assuming competence in )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(probability calculus, this book will provide a fairly rigorous treatment of insurance risk theory )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(recommended for researchers and students interested in applied probability as well as )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(practitioners of actuarial sciences. Wiley Series in Probability and Statistics)] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(Numerical Methods for Stochastic Processes)] TJ ET
BT 272.756 80.753 Td /F1 12.0 Tf [( Nicolas Bouleau 1994-01-14 Gives greater rigor to )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(numerical treatments of stochastic models. Contains Monte Carlo and quasi-Monte Carlo )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(techniques, simulation of major stochastic procedures, deterministic methods adapted to )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(Markovian problems and special problems related to stochastic integral and differential equations. )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(Simulation methods are given throughout the text as well as numerous exercises.)] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(Geostatistics)] TJ ET
BT 102.704 344.489 Td /F1 12.0 Tf [( Jean-Paul Chilès 2009-09-25 A novel, practical approach to modeling spatial )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(uncertainty. This book deals with statistical models used to describe natural variables distributed in )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(space or in time and space. It takes a practical, unified approach to geostatistics-integrating )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(statistical data with physical equations and geological concepts while stressing the importance of )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(an objective description based on empirical evidence. This unique approach facilitates realistic )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(modeling that accounts for the complexity of natural phenomena and helps solve economic and )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(development problems-in mining, oil exploration, environmental engineering, and other real-world )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(volume: * Reviews the most up-to-date geostatistical methods and the types of problems they )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(address. * Emphasizes the statistical methodologies employed in spatial estimation. * Presents )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(simulation techniques and digital models of uncertainty. * Features more than 150 figures and )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(many concrete examples throughout the text. * Includes extensive footnoting as well as a thorough )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(a broad audience in both industry and academia. An invaluable resource for geostatisticians, )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(physicists, mining engineers, and earth science professionals such as petroleum geologists, )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(courses in related subjects.)] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(Statistical Methods for Rates and Proportions)] TJ ET
BT 274.784 66.101 Td /F1 12.0 Tf [( Joseph L. Fleiss 2013-06-12 * Includes a new )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(chapter on logistic regression. * Discusses the design and analysis of random trials. * Explores the )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(latest applications of sample size tables. * Contains a new section on binomial distribution.)] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(Aspects of Statistical Inference)] TJ ET
BT 198.092 359.141 Td /F1 12.0 Tf [( A. H. Welsh 1996-10-10 Relevant, concrete, and thorough--the )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(essential data-based text onstatistical inference The ability to formulate abstract concepts and )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(equips advanced undergraduate and graduatestudents with a comprehensive grounding in )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(statistical inference,including nonstandard topics such as robustness, randomization, andfinite )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(population inference. A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(the concepts themselves. Written with clarity and depth, Aspects of Statistical Inference: * )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(fiducial, likelihood, andfrequentist approaches * Illustrates methods with real-data sets on diabetic )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments * )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(Considers multiparameter problems * Develops large sample approximations and shows how to )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(use them * Presents the philosophy and application of robustness theory * Highlights the central )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(role of randomization in statistics * Uses simple proofs to illuminate foundational concepts * )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(theory Here is the ultimate data-based text for comparing and presentingthe latest approaches to )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(statistical inference.)] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(Biostatistical Methods)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 93.425 m 150.056 93.425 l S
BT 150.056 95.405 Td /F1 12.0 Tf [( John M. Lachin 2009-09-25 Comprehensive coverage of classical and )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(modern methods of biostatistics Biostatistical Methods focuses on the assessment of risks and )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(relative risks on the basis of clinical investigations. It develops basic concepts and derives )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(biostatistical methods through both the application of classical mathematical statistical tools and )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(more modern likelihood-based theories. The first half of the book presents methods for the )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(analysis of single and multiple 2x2 tables for cross-sectional, prospective, and retrospective \(case-)] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(control\) sampling, with and without matching using fixed and two-stage random effects models. )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(The text then moves on to present a more modern likelihood- or model-based approach, which )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(includes unconditional and conditional logistic regression; the analysis of count data and the )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(Poisson regression model; and the analysis of event time data, including the proportional hazards )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(and multiplicative intensity models. The book contains a technical appendix that presents the core )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(mathematical statistical theory used for the development of classical and modern statistical )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(methods. Biostatistical Methods: The Assessment of Relative Risks: * Presents modern )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(biostatistical methods that are generalizations of the classical methods discussed * Emphasizes )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(derivations, not just cookbook methods * Provides copious reference citations for further reading * )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(Includes extensive problem sets * Employs case studies to illustrate application of methods * )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(Illustrates all methods using the Statistical Analysis System\(r\) \(SAS\) Supplemented with numerous )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(graphs, charts, and tables as well as a Web site for larger data sets and exercises, Biostatistical )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(Methods: The Assessment of Relative Risks is an excellent guide for graduate-level students in )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(biostatistics and an invaluable reference for biostatisticians, applied statisticians, and )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(epidemiologists.)] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(Bayesian Analysis in Statistics and Econometrics)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 122.729 m 294.776 122.729 l S
BT 294.776 124.709 Td /F1 12.0 Tf [( Donald A. Berry 1996 This book is a definitive )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(work that captures the current state of knowledge of Bayesian Analysis in Statistics and )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(Econometrics and attempts to move it forward. It covers such topics as foundations, forecasting )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(inferential matters, regression, computation and applications.)] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(Statistical Roundtables)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 64.121 m 156.068 64.121 l S
BT 156.068 66.101 Td /F1 12.0 Tf [( Christine M. Anderson-Cook 2016-04-22 Quality Progress, the flagship )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(journal of ASQ, has been publishing the column “Statistics Roundtable” since 1999. With over 130 )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(contributions from leading authors in applied statistics, the column has been highly successful and )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(widely read. This book collects 90 of the most interesting and useful articles on some key topics. )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(The editors have constructed this book to be a resource for statisticians and practitioners alike – )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(with short, accessible, practical advice in important core areas of statistics from world-renowned )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(experts. This book is intended to be an informative read, with bite-sized columns, as well as a )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(starting point for deeper exploration of key statistical areas. The book contains nine chapters with )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(collections of articles on the following topics: Statistical engineering Data quality and measurement )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(Data collection Key statistical tools Quality control Reliability Multiple response and meta-analysis )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(Applications Communication and training Chapter introductions provide a quick overview of the )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(material contained in the columns of that chapter, as well as complementary articles for that topic )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(that appear elsewhere in the book. Also included at the end of the each chapter introduction is a )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(short list of key references that can provide additional details or examples for material in the topic )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(area.)] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(The Statistical Analysis of Failure Time Data)] TJ ET
BT 269.420 183.317 Td /F1 12.0 Tf [( John D. Kalbfleisch 2011-01-25 Contains additional )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(discussion and examples on left truncationas well as material on more general censoring and )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(truncationpatterns. Introduces the martingale and counting process formulation swillbe in a new )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(chapter. Develops multivariate failure time data in a separate chapterand extends the material on )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(Markov and semi Markovformulations. Presents new examples and applications of data analysis.)] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(Statistical Methods for Quality Improvement)] TJ ET
BT 266.096 110.057 Td /F1 12.0 Tf [( Thomas P. Ryan 2011-09-20 Praise for the Second )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(Edition "As a comprehensive statistics reference book for quality improvement, it certainly is one of )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(the best books available." —Technometrics This new edition continues to provide the most )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(current, proven statistical methods for quality control and quality improvement The use of )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(quantitative methods offers numerous benefits in the fields of industry and business, both through )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(identifying existing trouble spots and alerting management and technical personnel to potential )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(broad range of tools and techniques that make it possible to quickly identify and resolve both )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(current and potential trouble spots within almost any manufacturing or nonmanufacturing process. )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(The book provides detailed coverage of the application of control charts, while also exploring )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(critical topics such as regression, design of experiments, and Taguchi methods. In this new )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(edition, the author continues to explain how to combine the many statistical methods explored in )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(the book in order to optimize quality control and improvement. The book has been thoroughly )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(revised and updated to reflect the latest research and practices in statistical methods and quality )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(control, and new features include: Updated coverage of control charts, with newly added tools The )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(latest research on the monitoring of linear profiles and other types of profiles Sections on )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(generalized likelihood ratio charts and the effects of parameter estimation on the properties of )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(CUSUM and EWMA procedures New discussions on design of experiments that include )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(conditional effects and fraction of design space plots New material on Lean Six Sigma and Six )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(Sigma programs and training Incorporating the latest software applications, the author has added )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(coverage on how to use Minitab software to obtain probability limits for attribute charts. new )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(exercises have been added throughout the book, allowing readers to put the latest statistical )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(methods into practice. Updated references are also provided, shedding light on the current )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(literature and providing resources for further study of the topic. Statistical Methods for Quality )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(Improvement, Third Edition is an excellent book for courses on quality control and design of )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(reference for practicing statisticians, engineers, and physical scientists interested in statistical )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(quality improvement.)] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(Statistical Optics)] TJ ET
BT 122.708 359.141 Td /F1 12.0 Tf [( Joseph W. Goodman 2000-08-14 The Wiley Classics Library consists of selected )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(books that have become recognized classics in their respective fields. With these new unabridged )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(and inexpensive editions, Wiley hopes to extend the life of these important works by making them )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(available to future generations of mathematicians and scientists. Currently available in the Series: )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(T. W. Anderson The Statistical Analysis of Time Series T. S. Arthanari & Yadolah Dodge )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(Mathematical Programming in Statistics Emil Artin Geometric Algebra Norman T. J. Bailey The )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(Elements of Stochastic Processes with Applications to the Natural Sciences Robert G. Bartle The )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(Elements of Integration and Lebesgue Measure George E. P. Box & Norman R. Draper )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(Evolutionary Operation: A Statistical Method for Process Improvement George E. P. Box & George )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(C. Tiao Bayesian Inference in Statistical Analysis R. W. Carter Finite Groups of Lie Type: )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(Conjugacy Classes and Complex Characters R. W. Carter Simple Groups of Lie Type William G. )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(Cochran & Gertrude M. Cox Experimental Designs, Second Edition Richard Courant Differential )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(and Integral Calculus, Volume I RIchard Courant Differential and Integral Calculus, Volume II )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume I Richard Courant & D. )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(Hilbert Methods of Mathematical Physics, Volume II D. R. Cox Planning of Experiments Harold S. )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(M. Coxeter Introduction to Geometry, Second Edition Charles W. Curtis & Irving Reiner )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(Representation Theory of Finite Groups and Associative Algebras Charles W. Curtis & Irving )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume I )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(Groups and Orders, Volume II Cuthbert Daniel Fitting Equations to Data: Computer Analysis of )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(Multifactor Data, Second Edition Bruno de Finetti Theory of Probability, Volume I Bruno de Finetti )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(Theory of Probability, Volume 2 W. Edwards Deming Sample Design in Business Research)] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(Fundamentals of Exploratory Analysis of Variance)] TJ ET
BT 299.456 359.141 Td /F1 12.0 Tf [( David C. Hoaglin 2009-09-25 The analysis of )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(variance is presented as an exploratory component of data analysis, while retaining the customary )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(for exploration. The approach emphasizes both the individual observations and the separate parts )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(that the analysis produces. Most chapters include exercises and the appendices give selected )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(percentage points of the Gaussian, t, F chi-squared and studentized range distributions.)] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(Statistical Tests for Mixed Linear Models)] TJ ET
BT 249.416 271.229 Td /F1 12.0 Tf [( André I. Khuri 2011-09-09 An advanced discussion of )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(linear models with mixed or randomeffects. In recent years a breakthrough has occurred in our )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(ability todraw inferences from exact and optimum tests of variance componentmodels, generating )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(much research activity that relies on linearmodels with mixed and random effects. This volume )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(covers the mostimportant research of the past decade as well as the latestdevelopments in )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(hypothesis testing. It compiles all currentlyavailable results in the area of exact and optimum tests )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(forvariance component models and offers the only comprehensivetreatment for these models at an )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(advanced level. Statistical Tests for Mixed Linear Models: Combines analysis and testing in one )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(self-containedvolume. Describes analysis of variance \(ANOVA\) procedures in balancedand )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(unbalanced data situations. Examines methods for determining the effect of imbalance ondata )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(analysis. Explains exact and optimum tests and methods for theirderivation. Summarizes test )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(procedures for multivariate mixed and randommodels. Enables novice readers to skip the )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(derivations and discussionson optimum tests. Offers plentiful examples and exercises, manyof )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(which are numerical in flavor. Provides solutions to selected exercises. Statistical Tests for Mixed )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(Linear Models is an accessiblereference for researchers in analysis of variance, )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(experimentaldesign, variance component analysis, and linear mixed models. It isalso an important )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(text for graduate students interested in mixedmodels.)] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(Evolutionary Opeation)] TJ ET
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34.016 357.161 m 152.072 357.161 l S
BT 152.072 359.141 Td /F1 12.0 Tf [( G. E. P. Box 1969 The basic ideas; Simple statistical principles on which )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(evop is based; The 2 and 2 factorial designs; Worksheets for two-variable evop programs; Some )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(aspects of the organization of evolutionary operation; Evop, optimization, and variations of evop; )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(Comments and questions on evop; Appendices; Tables; Index.)] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(Statistical Methods for Reliability Data)] TJ ET
BT 235.412 300.533 Td /F1 12.0 Tf [( William Q. Meeker 2014-08-21 Amstat News asked three )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(for Reliability Data was among those chosen. Bringing statistical methods for reliability testing in )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(line with the computer age This volume presents state-of-the-art, computer-based statistical )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(methods for reliability data analysis and test planning for industrial products. Statistical Methods )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(for Reliability Data updates and improves established techniques as it demonstrates how to apply )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(the new graphical, numerical, or simulation-based methods to a broad range of models )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(encountered in reliability data analysis. It includes methods for planning reliability studies and )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(analyzing degradation data, simulation methods used to complement large-sample asymptotic )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(theory, general likelihood-based methods of handling arbitrarily censored data and truncated data, )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(and more. In this book, engineers and statisticians in industry and academia will find: A wealth of )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(information and procedures developed to give products a competitive edge Simple examples of )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(data analysis computed with the S-PLUS system-for which a suite of functions and commands is )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(available over the Internet End-of-chapter, real-data exercise sets Hundreds of computer graphics )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(illustrating data, results of analyses, and technical concepts An essential resource for practitioners )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(involved in product reliability and design decisions, Statistical Methods for Reliability Data is also )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(an excellent textbook for on-the-job training courses, and for university courses on applied )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(reliability data analysis at the graduate level. An Instructor's Manual presenting detailed solutions )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(to all the problems in the book is available upon requestfrom the Wiley editorial department.)] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(Markov Processes and Applications)] TJ ET
BT 224.084 359.141 Td /F1 12.0 Tf [( Etienne Pardoux 2008-11-20 "This well-written book provides )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(an emphasis towards applications. The mathematical treatment is precise and rigorous without )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(superfluous details, and the results are immediately illustrated in illuminating examples. This book )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(will be extremely useful to anybody teaching a course on Markov processes." Jean-François Le )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(Gall, Professor at Université de Paris-Orsay, France. Markov processes is the class of stochastic )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(processes whose past and future are conditionally independent, given their present state. They )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(constitute important models in many applied fields. After an introduction to the Monte Carlo )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(method, this book describes discrete time Markov chains, the Poisson process and continuous )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(time Markov chains. It also presents numerous applications including Markov Chain Monte Carlo, )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(Simulated Annealing, Hidden Markov Models, Annotation and Alignment of Genomic sequences, )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(Control and Filtering, Phylogenetic tree reconstruction and Queuing networks. The last chapter is )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(an introduction to stochastic calculus and mathematical finance. Features include: The Monte )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(Carlo method, discrete time Markov chains, the Poisson process and continuous time jump )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(Markov processes. An introduction to diffusion processes, mathematical finance and stochastic )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(calculus. Applications of Markov processes to various fields, ranging from mathematical biology, to )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(financial engineering and computer science. Numerous exercises and problems with solutions to )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(most of them)] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(Statistical Methods for the Assessment of Point Source Pollution)] TJ ET
BT 375.500 95.405 Td /F1 12.0 Tf [( D.T. Chapman 2012-12-06 This )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(book contains the proceedings of a workshop, 'Statistical Methods for the Assess ment of Point )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(Source Pollution', held September 12-14, 1988, at the Canada Centre for Inland Waters in )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(Burlington, Ontario, Canada. The objectives of the workshop were to: a\) advance the art, science, )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(and application of statistical methods to current water quality issues by stimulating discussions and )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(disseminating ideas and information. The emphasis was on statistical problems associated with )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(monitor ing and controlling discharges from industries and municipalities and assessing the impact )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(of these discharges on receiving water quality, b\) provide a forum for managers, engineers, )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(scientists, and statisticians to present and discuss techniques for evaluating water quality data and )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(planning monitoring activities, c\) provide a published state-of-the art summary of the application of )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(statistical methods for the assessment of point source discharges and their impact on water )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(qUality. The papers contained in this volume cover a number of topics that are of concern not only )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(for monitoring and assessing point source pollution but also for other environmental problems.)] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(Evolutionary Operation)] TJ ET
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34.016 239.945 m 156.068 239.945 l S
BT 156.068 241.925 Td /F1 12.0 Tf [( George E. P. Box 1998-03-09 This book is about the philosophy and )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(practice of Evolutionary Operation \(called EVOP for short\), a simple but powerful statistical tool )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(with wide application in industry. Experience has long shown that statistical methods, sometimes )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(quite sophisticated in character, can be of great value in improving the efficiency of laboratory and )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(pilot-plant investigations made by specially trained chemists and engineers. What originally )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(motivated the introduction of EVOP, however, was the idea that the widespread and daily use of )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(simple statistical design and analysis during routine production by process operatives themselves )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(could reap enormous additional rewards.)] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(Statistical Factor Analysis and Related Methods)] TJ ET
BT 288.116 124.709 Td /F1 12.0 Tf [( Alexander T. Basilevsky 2009-09-25 Statistical )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(Factor Analysis and Related Methods Theory and Applications In bridging the gap between the )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(mathematical and statistical theory of factor analysis, this new work represents the first unified )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(treatment of the theory and practice of factor analysis and latent variable models. It focuses on )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(such areas as: * The classical principal components model and sample-population inference * )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(Several extensions and modifications of principal components, including Q and three-mode )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(analysis and principal components in the complex domain * Maximum likelihood and weighted )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(factor models, factor identification, factor rotation, and the estimation of factor scores * The use of )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(factor models in conjunction with various types of data including time series, spatial data, rank )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(orders, and nominal variable * Applications of factor models to the estimation of functional forms )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(and to least squares of regression estimators)] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(Statistical Methods in Diagnostic Medicine)] TJ ET
BT 258.092 300.533 Td /F1 12.0 Tf [( Xiao-Hua Zhou 2014-08-21 Praise for the First Edition " )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(. . . the book is a valuable addition to the literature in thefield, serving as a much-needed guide for )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(both clinicians andadvanced students."—Zentralblatt MATH A new edition of the cutting-edge )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(guide to diagnostic tests inmedical research In recent years, a considerable amount of research )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(has focusedon evolving methods for designing and analyzing diagnostic accuracystudies. )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(Statistical Methods in Diagnostic Medicine, Second Editioncontinues to provide a comprehensive )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(approach to the topic, guidingreaders through the necessary practices for understanding )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(thesestudies and generalizing the results to patient populations. Following a basic introduction to )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(measuring test accuracy andstudy design, the authors successfully define various measures )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(ofdiagnostic accuracy, describe strategies for designing diagnosticaccuracy studies, and present )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(key statistical methods forestimating and comparing test accuracy. Topics new to the )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(SecondEdition include: Methods for tests designed to detect and locate lesions Recommendations )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(for covariate-adjustment Methods for estimating and comparing predictive values andsample size )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(calculations Correcting techniques for verification and imperfect standardbiases Sample size )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(calculation for multiple reader studies when pilotdata are available Updated meta-analysis )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(methods, now incorporating randomeffects Three case studies thoroughly showcase some of the )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(questions andstatistical issues that arise in diagnostic medicine, with allassociated data provided )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(in detailed appendices. A related web sitefeatures Fortran, SAS®, and R software packages so )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(thatreaders can conduct their own analyses. Statistical Methods in Diagnostic Medicine, Second )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(Edition is anexcellent supplement for biostatistics courses at the graduatelevel. It also serves as a )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(valuable reference for clinicians andresearchers working in the fields of medicine, epidemiology, )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(andbiostatistics.)] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(Introduction to Statistical Time Series)] TJ ET
BT 232.088 315.185 Td /F1 12.0 Tf [( Wayne A. Fuller 2009-09-25 The subject of time series is of )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(considerable interest, especially among researchers in econometrics, engineering, and the natural )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(sciences. As part of the prestigious Wiley Series in Probability and Statistics, this book provides a )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(lucid introduction to the field and, in this new Second Edition, covers the important advances of )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(recent years, including nonstationary models, nonlinear estimation, multivariate models, state )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(space representations, and empirical model identification. New sections have also been added on )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(the Wold decomposition, partial autocorrelation, long memory processes, and the Kalman filter. )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(Major topics include: * Moving average and autoregressive processes * Introduction to Fourier )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(analysis * Spectral theory and filtering * Large sample theory * Estimation of the mean and )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(autocorrelations * Estimation of the spectrum * Parameter estimation * Regression, trend, and )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(seasonality * Unit root and explosive time series To accommodate a wide variety of readers, )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(review material, especially on elementary results in Fourier analysis, large sample statistics, and )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(difference equations, has been included.)] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(Statistical Inference for Fractional Diffusion Processes)] TJ ET
BT 321.452 124.709 Td /F1 12.0 Tf [( B. L. S. Prakasa Rao 2011-07-05 )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(Stochastic processes are widely used for model building in the social, physical, engineering and )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(life sciences as well as in financial economics. In model building, statistical inference for stochastic )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(processes is of great importance from both a theoretical and an applications point of view. This )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(book deals with Fractional Diffusion Processes and statistical inference for such stochastic )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(processes. The main focus of the book is to consider parametric and nonparametric inference )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(problems for fractional diffusion processes when a complete path of the process over a finite )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(interval is observable. Key features: Introduces self-similar processes, fractional Brownian motion )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(and stochastic integration with respect to fractional Brownian motion. Provides a comprehensive )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(review of statistical inference for processes driven by fractional Brownian motion for modelling long )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(range dependence. Presents a study of parametric and nonparametric inference problems for the )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(fractional diffusion process. Discusses the fractional Brownian sheet and infinite dimensional )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(fractional Brownian motion. Includes recent results and developments in the area of statistical )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(inference of fractional diffusion processes. Researchers and students working on the statistics of )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(fractional diffusion processes and applied mathematicians and statisticians involved in stochastic )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(process modelling will benefit from this book.)] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(Discriminant Analysis and Statistical Pattern Recognition)] TJ ET
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34.016 225.293 m 334.784 225.293 l S
BT 334.784 227.273 Td /F1 12.0 Tf [( Geoffrey J. McLachlan 2005-02-25 The )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(Wiley-Interscience Paperback Series consists of selected books that have been made more )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(accessible to consumers in an effort to increase global appeal and general circulation. With these )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(them available to future generations of statisticians, mathematicians, and scientists. "For both )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(applied and theoretical statisticians as well as investigators working in the many areas in which )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(relevant use can be made of discriminant techniques, this monograph provides a modern, )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(comprehensive, and systematic account of discriminant analysis, with the focus on the more )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(recent advances in the field." –SciTech Book News ". . . a very useful source of information for any )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(researcher working in discriminant analysis and pattern recognition." –Computational Statistics )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(subject. While the focus is on practical considerations, both theoretical and practical issues are )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(explored. Among the advances covered are regularized discriminant analysis and bootstrap-based )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(assessment of the performance of a sample-based discriminant rule, and extensions of )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(discriminant analysis motivated by problems in statistical image analysis. The accompanying )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(bibliography contains over 1,200 references.)] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(Leading Personalities in Statistical Sciences)] TJ ET
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34.016 327.857 m 268.112 327.857 l S
BT 268.112 329.837 Td /F1 12.0 Tf [( Norman L. Johnson 2011-09-26 A fascinating )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(chronicle of the lives and achievements of the menand women who helped shapethe science of )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(statistics This handsomely illustrated volume will make enthralling readingfor scientists, )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(mathematicians, and science history buffs alike.Spanning nearly four centuries, it chronicles the )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(lives andachievements of more than 110 of the most prominent names intheoretical and applied )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(statistics and probability. From Bernoullito Markov, Poisson to Wiener, you will find intimate )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(profiles ofwomen and men whose work led to significant advances in the areasof statistical )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(inference and theory, probability theory, governmentand economic statistics, medical and )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(agricultural statistics, andscience and engineering. To help readers arrive at a fullerappreciation of )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(the contributions these pioneers made, the authorsvividly re-create the times in which they lived )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(while exploring themajor intellectual currents that shaped their thinking andpropelled their )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(discoveries. Lavishly illustrated with more than 40 authentic photographs andwoodcuts * Includes )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(a comprehensive timetable of statistics from theseventeenth century to the present * Features )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(edited chapters written by 75 experts from around theglobe * Designed for easy reference, )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(features a unique numbering schemethat matches the subject profiled with his or her particular )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(fieldof interest)] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(Statistical Methods for Survival Data Analysis)] TJ ET
BT 274.760 95.405 Td /F1 12.0 Tf [( Elisa T. Lee 2003-04-17 Third Edition brings the text )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(up to date with new material and updated references. New content includes an introduction to left )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(and interval censored data; the log-logistic distribution; estimation procedures for left and interval )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(censored data; parametric methods iwth covariates; Cox's proportional hazards model \(including )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(stratification and time-dependent covariates\); and multiple responses to the logistic regression )] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(model. Coverage of graphical methods has been deleted. Large data sets are provided on an FTP )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(site for readers' convenience. Bibliographic remarks conclude each chapter.)] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(Nonlinear Statistical Models)] TJ ET
BT 182.060 329.837 Td /F1 12.0 Tf [( A. Ronald Gallant 2009-09-25 A comprehensive text and reference )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(bringing together advances in the theory of probability and statistics and relating them to )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(applications. The three major categories of statistical models that relate dependent variables to )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(explanatory variables are covered: univariate regression models, multivariate regression models, )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(and simultaneous equations models. Methods are illustrated with worked examples, complete with )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(figures that display code and output.)] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(Statistical Intervals)] TJ ET
BT 134.048 241.925 Td /F1 12.0 Tf [( Gerald J. Hahn 2011-09-28 Presents a detailed exposition of statistical )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(intervals and emphasizes applications in industry. The discussion differentiates at an elementary )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(level among different kinds of statistical intervals and gives instruction with numerous examples )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(and simple math on how to construct such intervals from sample data. This includes confidence )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(intervals to contain a population percentile, confidence intervals on probability of meeting specified )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(threshold value, and prediction intervals to include observation in a future sample. Also has an )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(appendix containing computer subroutines for nonparametric statistical intervals.)] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(Six Sigma and Beyond)] TJ ET
BT 155.408 139.361 Td /F1 12.0 Tf [( D.H. Stamatis 2002-09-25 In this volume of the Six Sigma and Beyond )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(series, quality engineering expert D.H. Stamatis focuses on how Statistical Process Control \(SPC\) )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(relates to Six Sigma. He emphasizes the "why we do" and "how to do" SPC in many different )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(environments. The book provides readers with an overview of SPC in easy-to-follow, easy-to-)] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(understand terms. The author reviews and explains traditional SPC tools and how they relate to )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(Six Sigma and goes on to cover the use of advanced techniques. In addition, he addresses issues )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(that concern service SPC and short run processes, explores the issue of capability for both the )] TJ ET
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BT 34.016 373.793 Td /F1 12.0 Tf [(short run and the long run, and discusses topics in measurement.)] TJ ET
BT 34.016 359.141 Td /F1 12.0 Tf [(Multivariate Statistical Simulation)] TJ ET
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BT 209.396 359.141 Td /F1 12.0 Tf [( Mark E. Johnson 2013-11-11 Provides state-of-the-art coverage )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(for the researcher confronted with designing and executing a simulation study using continuous )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(multivariate distributions. Concise writing style makes the book accessible to a wide audience. )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(Well-known multivariate distributions are described, emphasizing a few representative cases from )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(each distribution. Coverage includes Pearson Types II and VII elliptically contoured distributions, )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(Khintchine distributions, and the unifying class for the Burr, Pareto, and logistic distributions. )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(Extensively illustrated--the figures are unique, attractive, and reveal very nicely what distributions )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(``look like.'' Contains an extensive and up-to-date bibliography culled from journals in statistics, )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(operations research, mathematics, and computer science.)] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(Evolutionary Operation)] TJ ET
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BT 156.068 227.273 Td /F1 12.0 Tf [( George Edward Pelham Box 1974 )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(Full Scale Plant Optimization in Chemical Engineering)] TJ ET
BT 320.780 212.621 Td /F1 12.0 Tf [( Zivorad R. Lazic 2022-05-27 Full Scale )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(Plant Optimization in Chemical Engineering Highlights the basic principles and applications of the )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(primary three methods in plant and process optimization for responsible operators and engineers. )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(Chemical engineers are a vital part of the creation of any process development—lab-scale and )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(pilot-scale—for any plant. In fact, they are the lynchpin of later efforts to scale-up and full-scale )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(plant process improvement. As these engineers approach a new project, there are three generally )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(recognized methodologies that are applicable in industry generally: Design of Experiments \(DOE\), )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(Evolutionary Operations \(EVOP\), and Data Mining Using Neural Networks \(DM\). In Full Scale )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(Plant Optimization in Chemical Engineering, experienced chemical engineer Živorad R. Lazi? )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(offers an in-depth analysis and comparison of these three methods in full-scale plant optimization )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(applications. The book is designed to provide the basic principles and necessary information for )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(complete understanding of these three methods \(DOE, EVOP, and DM\). The application of each )] TJ ET
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BT 34.016 359.141 Td /F1 12.0 Tf [(find: A thorough discussion of the advantages, disadvantages and applications for the five different )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(EVOP methods \(BEVOP, ROVOP, REVOP, QSEVOP & SEVOP\) with examples and simulations )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(An overview of EVOP tools that responsible operators and engineers utilize in deciding which )] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(EVOP method is the most appropriate for the certain type of the process Particular attention is )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(given to the simple but powerful technique Evolutionary Operation or EVOP, which provides the )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(experimental tools for the full scale plant optimization Full Scale Plant Optimization in Chemical )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(Engineering is a useful reference for all chemists in industry, chemical engineers, pharmaceutical )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(chemists, and process engineers.)] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(Methods for Statistical Data Analysis of Multivariate Observations)] TJ ET
BT 380.804 241.925 Td /F1 12.0 Tf [( R. Gnanadesikan 2011-01-25 A )] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(practical guide for multivariate statistical techniques-- nowupdated and revised In recent years, )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(innovations in computer technology and statisticalmethodologies have dramatically altered the )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(landscape ofmultivariate data analysis. This new edition of Methods forStatistical Data Analysis of )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(Multivariate Observations explorescurrent multivariate concepts and techniques while retaining )] TJ ET
BT 34.016 168.665 Td /F1 12.0 Tf [(thesame practical focus of its predecessor. It integrates methods anddata-based interpretations )] TJ ET
BT 34.016 154.013 Td /F1 12.0 Tf [(relevant to multivariate analysis in away that addresses real-world problems arising in many areas )] TJ ET
BT 34.016 139.361 Td /F1 12.0 Tf [(ofinterest. Greatly revised and updated, this Second Edition provides helpfulexamples, graphical )] TJ ET
BT 34.016 124.709 Td /F1 12.0 Tf [(orientation, numerous illustrations, and anappendix detailing statistical software, including the S )] TJ ET
BT 34.016 110.057 Td /F1 12.0 Tf [(\(or Splus\)and SAS systems. It also offers * An expanded chapter on cluster analysis that covers )] TJ ET
BT 34.016 95.405 Td /F1 12.0 Tf [(advances inpattern recognition * New sections on inputs to clustering algorithms and aids )] TJ ET
BT 34.016 80.753 Td /F1 12.0 Tf [(forinterpreting the results of cluster analysis * An exploration of some new techniques of )] TJ ET
BT 34.016 66.101 Td /F1 12.0 Tf [(summarization andexposure * New graphical methods for assessing the separations among )] TJ ET
BT 34.016 51.449 Td /F1 12.0 Tf [(theeigenvalues of a correlation matrix and for comparing sets ofeigenvectors * Knowledge gained )] TJ ET
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BT 34.016 359.141 Td /F1 12.0 Tf [(themultivariate normal This Second Edition is invaluable for graduate students, )] TJ ET
BT 34.016 344.489 Td /F1 12.0 Tf [(appliedstatisticians, engineers, and scientists wishing to usemultivariate techniques in a variety of )] TJ ET
BT 34.016 329.837 Td /F1 12.0 Tf [(disciplines.)] TJ ET
BT 34.016 315.185 Td /F1 12.0 Tf [(Statistical Methods for Comparative Studies)] TJ ET
BT 266.768 315.185 Td /F1 12.0 Tf [( Dr. Sharon Roe Anderson 2009-09-25 Brings together )] TJ ET
BT 34.016 300.533 Td /F1 12.0 Tf [(techniques for the design and analysis of comparative studies. Methods include multivariate )] TJ ET
BT 34.016 285.881 Td /F1 12.0 Tf [(matching, standardization and stratification, analysis of covariance, logit analysis, and log linear )] TJ ET
BT 34.016 271.229 Td /F1 12.0 Tf [(analysis. Quantitatively assesses techniques' effectiveness in reducing bias. Discusses hypothesis )] TJ ET
BT 34.016 256.577 Td /F1 12.0 Tf [(testing, survival analysis, repeated measure design, and causal inference from comparative )] TJ ET
BT 34.016 241.925 Td /F1 12.0 Tf [(studies.)] TJ ET
BT 34.016 227.273 Td /F1 12.0 Tf [(An Introduction to Probability and Statistics)] TJ ET
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BT 262.124 227.273 Td /F1 12.0 Tf [( Vijay K. Rohatgi 2011-09-15 The second edition of a )] TJ ET
BT 34.016 212.621 Td /F1 12.0 Tf [(well-received book that was published 24 years ago and continues to sell to this day, An )] TJ ET
BT 34.016 197.969 Td /F1 12.0 Tf [(Introduction to Probability and Statistics is now revised to incorporate new information as well as )] TJ ET
BT 34.016 183.317 Td /F1 12.0 Tf [(substantial updates of existing material.)] TJ ET
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BT 455.838 134.361 Td /F1 8.0 Tf [( on October 3, 2022 by guest)] TJ ET
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