Applying Generalized Linear Models (Springer Texts in Statistics) [Hardcover]

James K. Lindsey (Author)

Book Description

ISBN-10: 0387982183 | ISBN-13: 978-0387982182 | Publication Date: June 20, 1997 | Edition: Corrected

This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. The author shows the unity of many of the commonly used models and provides readers with a taste of many different areas, such as survival models, time series, and spatial analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, regression and ANOVA.

Editorial Reviews

Review

From a review: TECHNOMETRICS "...one of the best applied statistical books that I have ever read."

About the Author

James K. Lindsey is professor in the Biostatistics Department at Limburgs University, Diepenbeek, in the Social Science department at the University of Liege, and in medical statistics at DeMontfort University, Leicester. He is the author of eight other books.

Product Details

• Hardcover: 282 pages
• Publisher: Springer; Corrected edition (June 20, 1997)
• Language: English
• ISBN-10: 0387982183
• ISBN-13: 978-0387982182
• Product Dimensions: 9.5 x 6.4 x 0.7 inches
• Shipping Weight: 1.2 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,294,309 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

24 of 25 people found the following review helpful:

5.0 out of 5 stars well written applied book, February 9, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Applying Generalized Linear Models (Springer Texts in Statistics) (Hardcover)

Since the work of Nelder and Wedderburn in 1972 it has become computationally feasible to unify normal linear models, categorical models and survival models through the use of a link function in the generalized linear model construct. However implementation has only slowly come about but the techniques are now very popular. Today various software packages are available to implement the methods. It is also the subject of much current research particularly in the medical field. Lindsey provides a clear presentation with many recent applications. The required level of mathematics is intermediate to advanced. Some basic knowledge of statistical methods and inference is assumed.
Another fine applied book with emphasis on computation through GENSTAT is "Statistical Modelling using GENSTAT" by McConway et al. ...