Statistical Modelling in GLIM

Statistical Modelling in GLIM

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Overview

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 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: 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)

About the Author

University of Lancaster

CSIRO Division of Mathematics and Statistics, Melbourne

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