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Experimental design

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  • Applied Bayesian Modellingby Peter Congdon

    John Wiley & Sons, Ltd. 2003; US$ 130.00

    The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS – a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example – explaining fully the choice of model for each particular problem. The book · Provides a broad and comprehensive... more...

  • Bayesian Approaches to Clinical Trials and Health-Care Evaluationby David J. Spiegelhalter; Keith R. Abrams; Jonathan P. Myles

    John Wiley & Sons, Ltd. 2004; US$ 90.00

    READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council’s biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries.   Order a copy of this author’s comprehensive text TODAY!  The Bayesian approach involves synthesising data and judgement in order to reach conclusions about unknown quantities and make predictions. Bayesian methods have become increasingly popular in recent years, notably in medical research, and although there are a number of books on Bayesian analysis, few cover clinical trials and biostatistical... more...

  • Bayesian Artificial Intelligenceby Kevin B. Korb; Ann E. Nicholson

    Chapman & Hall/CRC 2003; US$ 89.95

    With Bayesian network technology very much on the up-swing in industry and government, there is an increasing need for an introductory book that jointly emphasizes the understanding of its underlying priniciples and their application in practice. more...

  • Extending Linear Model With Rby Julian J. Faraway

    Chapman & Hall/CRC 2004; US$ 89.95

    Linear models are central to the practice of statistics. They are part of the core knowledge expected of any applied statistician. Linear models are the foundation of a broad range of statistical methodologies; this book is a survey of techniques that grow from a linear model. Our starting point is the regression model with response y and predictors x1,?xp. The model takes the form: y=â0+â1x1+?+âpxp+å where å is normally distributed. This book presents three extensions to this framework. The first generalizes the y part; the second, the å part; and the third, the x part of the linear model. more...

  • Applied Statistical Designs for the Researcherby Daryl S. Paulson

    Marcel Dekker Inc 2003; US$ 94.95

    Showcasing a broad discussion of the experimental process and a review of basic statistics, this volume provides tried and proven methodologies that should enable statisticians to identify general data distribution, skewness, and outliers rapidly. more...

  • Generalized, Linear, and Mixed Modelsby Charles E. McCulloch; Shayle R. Searle

    John Wiley & Sons, Inc. 2004; US$ 143.50

    Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data. As a follow-up to Searle's classic, Linear Models, and Variance Components by Searle, Casella, and McCulloch, this new work progresses from the basic one-way classification to generalized linear mixed models. A variety of statistical methods are explained and illustrated, with an emphasis on maximum... more...

  • Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectivesby Andrew Gelman; Xiao-Li Meng

    John Wiley & Sons, Ltd. 2004; US$ 120.00

    This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin  has made fundamental contributions to the study of missing data. Key features of the book include: Comprehensive coverage of an imporant area for both research and applications. Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques. Covers key topics such as multiple imputation, propensity... more...

  • Decision Spaceby Paul Weirich; Brian Skyrms; Ernest W. Adams; Ken Binmore; Jeremy Butterfield; Persi Diaconis; William L. Harper

    Cambridge University Press 2001; US$ 50.00

    In Decision Space: Multidimensional Utility Analysis, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method, multidimensional utility analysis is a valuable new tool in decision theory. more...

  • Mixed Modelsby Eugene Demidenko

    John Wiley & Sons, Inc. 2005; US$ 150.00

    A rigorous, self-contained examination of mixed model theory and application Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as applications such as the analysis of tumor regrowth, shape, and image. Paying special attention to algorithms and their implementations, the book discusses: Modeling of complex clustered or longitudinal data Modeling data with multiple sources of variation Modeling biological variety and heterogeneity Mixed model as a compromise between the frequentist... more...

  • Optimal Statistical Decisionsby Morris H. DeGroot

    John Wiley & Sons, Inc. 2005; US$ 126.00

    The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists. more...