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Statistical Modelling in GLIM / Edition 2
     

Statistical Modelling in GLIM / Edition 2

by Murray Aitkin
 

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ISBN-10: 0198524137

ISBN-13: 2900198524136

Pub. Date: 03/15/2005

Publisher: Oxford University Press, USA

This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes into account new developments in both statistical software and statistical modeling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modeling with generalized linear models with an

Overview

This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes into account new developments in both statistical software and statistical modeling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modeling with generalized linear models with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is also provided, using the normal, binomial Poisson, multinominal, gamma, exponential and Weibull distributions. This book is ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines, including biology, medicine, and the social sciences. Professional statisticians at all levels will also find it an invaluable desktop companion.

Product Details

ISBN-13:
2900198524136
Publisher:
Oxford University Press, USA
Publication date:
03/15/2005
Series:
Oxford Statistical Science Series
Edition description:
REV
Pages:
572

Table of Contents

1. Introducing GLIM4
2. Statistical Modelling and Inference
3. Regression and Analysis of Variance
4. Binary Response Data
5. Multinomial and Poisson Response Data
6. Survival Data
7. Finite Mixture Models
8. Random Effect Models
9. Variance Component Models
References
Index

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