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Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian ... More
Textbook Hardcover - Revised Edition
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A comprehensive and up-to-date introduction to the fundamentals of regression analysis The Fourth Edition of Introduction to Linear Regression Analysis describes both the ... More
Textbook Hardcover - REV
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In this update of the classic 1978 text, professors emeriti of statistics/engineering (U. of Wisconsin-Madison; Princeton U.) present examples of how analytic tools may be ... More
Textbook Hardcover - REV
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Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." ... More
Textbook Hardcover - REV
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A valuable new edition of the trusted, practical guide to managing data in clinical trials Regardless of size, type, or complexity, accurate results for any clinical trial ... More
Textbook Hardcover - REV
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A graduate textbook distinctly more technical and thorough than Agresti's 1996 introductory text. Most statistical and biostatistical departments offer courses in categorical ... More
Textbook Paperback - New Edition
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Statistical Rules of Thumb, Second Edition compiles simple rules that are widely applicable, robust, and elegant, and each captures key statistical concepts. This handbook ... More
Textbook Hardcover - New Edition
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A Practical, Up-To-Date Guide To Modern Methods In The Analysis Of Time To Event Data. The rapid proliferation of powerful and affordable statistical software packages over ... More
Textbook Hardcover - New Edition
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For graduate students and practicing statisticians, McCulloch (biostatistics, U. of California-San Francisco) and Searle (biometry, Cornell U.) begin by reviewing the basics ... More
Paperback
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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general ... More
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