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.
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Murray Aitkin, Department of Statistics, University of Tel Aviv. Dorothy Anderson, CSIRO Division of Mathematics and Statistics, Melbourne. Brian Francis, Lecturer at the Centre for Applied Statistics, University of Lancaster.
'the book would be an excellent one on which to base an introductory course on GLIM ... This account is one that would be difficult to better ... Anyone with fears that statisticians may be replaced by expert systems should consult this text!'
Susan R. Wilson, Australian National University, Statistics in Medicine
`... a carefully written book containing many pearls of statistical wisdom ... this account is one that would be difficult to better.' Statistics in Medicine
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