Statistical Modelling in GLIM

Statistical Modelling in GLIM

by Murray Aitkin, Dorothy Anderson, Brian Francis, John Hinde
     
 

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.

Editorial Reviews

Booknews
Introduction to both the theory of statistical models and the practical implementation of these analytical techniques using a widely available computer package, GLIM3 (Generalized Linear Interactive Modelling). The authors integrate the theoretical and practical aspects, illustrating statistical principles by worked examples. Accessible to advanced students and statisticians in biomedical research and the social sciences. Annotation c. Book News, Inc., Portland, OR (booknews.com)
From the Publisher
"Well organized... Professional statisticians at all levels will also find it an invaluable desktop companion."—Technometrics

Product Details

ISBN-13:
9780198522034
Publisher:
Oxford University Press, USA
Publication date:
03/16/1989
Series:
Oxford Statistical Science Series, #4
Pages:
392
Product dimensions:
9.19(w) x 6.13(h) x 0.92(d)

Meet the Author

University of Lancaster

CSIRO Division of Mathematics and Statistics, Melbourne

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