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Applying Generalized Linear Models (Springer Texts in Statistics)

James K. Lindsey




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 | #3233619 in Books |  James K Lindsey |  2000-04-20 | Original language:English | PDF # 1 |  9.21 x.75 x6.14l,1.17 | File type: PDF | 256 pages

 | Applying Generalized Linear Models

||25 of 26 people found the following review helpful.| well written applied book|By Michael R. Chernick|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. Tod

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 mode...

You can specify the type of files you want, for your gadget.Applying Generalized Linear Models (Springer Texts in Statistics)   |  James K. Lindsey. Which are the reasons I like to read books. Great story by a great author.

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