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Applying Generalized Linear Models

  • Fester Einband
  • 276 Seiten
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This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled i... Weiterlesen
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Beschreibung

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.

Klappentext

Applying Generalized Linear Models describes how generalized linear modelling procedures can be used for statistical modelling in many different fields, without becoming lost in problems of statistical inference. Many students, even in relatively advanced statistics courses, do not have an overview whereby they can 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 used models and provides the reader with a taste of many different areas, such as survival models, time series, and spatial analysis. This book should appeal to applied statisticians and to scientists with a basic grounding in modern statistics. With the many exercises included at the ends of chapters, it will be an excellent text for teaching the fundamental uses of statistical modelling. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, and should be familiar at least with the analysis of the simpler normal linear models, regression and ANOVA. The author is professor in the biostatistics department at Limburgs University, Diepenbeek, in the social science department at the University of Liège, and in medical statistics at DeMontfort University, Leicester. He is the author of nine other books.



Inhalt

Generalized Linear Modelling.- Discrete Data.- Fitting and Comparing Probability Distributions.- Growth Curves.- Time Series.- Survival Data.- Event Histories.- Spatial Data.- Normal Models.- Dynamic Models.

Produktinformationen

Titel: Applying Generalized Linear Models
Autor:
EAN: 9780387982182
ISBN: 0387982183
Format: Fester Einband
Herausgeber: Springer New York
Genre: Mathematik
Anzahl Seiten: 276
Gewicht: 582g
Größe: H241mm x B160mm x T19mm
Jahr: 2000
Auflage: 1st ed. 1997. Corr. 3rd printing 2000

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