Includes thorough treatment of logistic and Poisson regression.
∗ Introduction to generalized estimating questions.
∗ Numerous examples in fields ranging from biology and biopharmaceuticals to engineering and quality assurance.
∗ Provides guidance in using widely available software to illustrate all aspects of model–fitting, inference, and diagnostic testing.
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RAYMOND H. MYERS is Professor Emeritus in the Department of Statistics at Virginia Tech in Blacksburg, Virginia.
DOUGLAS C. MONTGOMERY is Professor in the Department of Industrial Engineering at Arizona State University in Tempe, Arizona.
G. GEOFFREY VINING is Professor and Head of the Department of Statistics at Virginia Tech in Blacksburg, Virginia.
A comprehensive introduction to generalized linear models, including logistic and Poisson regression
This volume presents a thorough introductory treatment of generalized linear models (GLM). It features useful examples of GLMs at work in a variety of settings ranging from applications in biology and biopharmaceuticals, to engineering and quality assurance.
The authors review the types of problems that support the use of GLMs, then provide an overview of many of the basic concepts of multiple linear regression and nonlinear regression. Fundamental concepts such as least squares and the maximum likelihood estimation procedure are discussed. Confidence intervals estimation, hypothesis testing procedures, and model diagnostic checking techniques such as residual plotting and influence diagnostics are also presented in detail. Further coverage includes:
∗ Model fitting, inference, and diagnostics for nonlinear regression
∗ Coverage of logistic and Poisson regression
∗ Vivid illustrations of model fitting, inference, and diagnostic checking using SAS PROC GENMOD and S–PLUS software
∗ Introduction to generalized estimating equations (GEEs)
Generalized Linear Models provides an in–depth introduction to the subject for graduate students in regression courses and for engineers, scientists, and statisticians who must understand and apply GLMs in their work.
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Seller: Fox and Tome Booksellers, Frederick, MD, U.S.A.
Hardback. Condition: New. Authored by Raymond H. Myers, Douglas C. Montgomery, and G. Geoffrey Vining, this 2002 Wiley volume extends classical regression methodology into the framework of generalized linear models, with detailed coverage of logistic regression, Poisson regression, and generalized estimating equations. The text draws applications from engineering, quality control, biological research, and pharmaceutical studies, illustrating model fitting, statistical inference, and diagnostic procedures using commonly available software packages. It serves as a reference for practitioners and graduate students working with non-normal response data and falls within the subject area of linear models in statistics. Seller Inventory # NN-260425-shelf-43-007
Seller: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_453983933
Seller: Goodwill, Brooklyn Park, MN, U.S.A.
Condition: good. There is handwriting, stickers or numbers inside the front cover Cover Case has some rubbing and edgewear. Access codes, CD's, slipcovers and other accessories may not be included. Seller Inventory # 2Y6RVK006B17_ns
Seller: BookHolders, Towson, MD, U.S.A.
Condition: Very Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Wiley-Interscience Pub Date: 9/28/2001 Binding: Hardcover Pages: 424 first edition. Seller Inventory # 6795122
Seller: Anybook.com, Lincoln, United Kingdom
Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780471355731. Seller Inventory # 7098877
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