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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.
Synopsis
This textbook is an introduction to both the theory of statistical models with general linear models and the practical implementation of these analytical techniques using a widely available computer package, GLIM (Generalized Linear Interactive Modelling). The authors fully integrate the theoretical and practical aspects, illustrating statistical principles by worked examples using GLIM's extensive interactive facilities. Statisticians working in a wide range of fields including biomedical research and the social sciences will find this an invaluable desktop companion to their statistical modelling. It also provides a hands-on guide for advanced students in these areas who may be using the techniques for the first time.
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)