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Springer统计教材
Applying Generalized Linear Models (Springer Texts in Statistics).pdf
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以下是该书介绍：
JamesK. Lindsey
Hangfeng Chen,Technometrics, May 1998
...one of the best applied statistical books that I have ever read.
Book Description
Applying Generalized Linear Models describes how generalized linear modellingprocedures can be used for statistical modelling in many different fields,without becoming lost in problems of statistical inference. Many students, evenin relatively advanced statistics courses, do not have an overview whereby theycan see that the three areas - linear normal, categorical, and survival models- have much in common. The author shows the unity of many of the commonly usedmodels and provides the reader with a taste of many different areas, such assurvival models, time series, and spatial analysis. This book should appeal toapplied statisticians and to scientists with a basic grounding in modernstatistics. With the many exercises included at the ends of chapters, it willbe an excellent text for teaching the fundamental uses of statisticalmodelling. The reader is assumed to have knowledge of basic statisticalprinciples, whether from a Bayesian, frequentist, or direct likelihood point ofview, and should be familiar at least with the analysis of the simpler normallinear models, regression and ANOVA. The author is professor in thebiostatistics department at Limburgs University, Diepenbeek, in the social sciencedepartment at the University of Li?¨ge, and in medical statistics at DeMontfort University,Leicester. He is the author of nine otherbooks.
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