Statistical modelling in GLIM4: 32 (Oxford Statistical Science Series) - Hardcover

Aitkin, Murray; Francis, Brian; Hinde, John

 
9780198524137: Statistical modelling in GLIM4: 32 (Oxford Statistical Science Series)
Hardcover
ISBN 10: 0198524137 ISBN 13: 9780198524137
Publisher: OUP Oxford, 2005

Synopsis

This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes into account new developments in both statistical software and statistical modelling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modelling with generalised 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, multinomial, 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" may belong to another edition of this title.

Review

The book will be appreciated by graduates, Ph-D students and professional statisticians as a tool that provides a comprehensive treatment of the statistical theory with an emphasis on application. Wide range of case studies and a gentle self-contained presentation of GLIM4 complete the monograph as an extremely useful publication. (EMS Newsletter)

...there is much practical advice, many well-worked examples, and ample GLIM4 code and output. (Thomas M. Loughin, BIOMETRICS)

Synopsis

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

"About this title" may belong to another edition of this title.

Publisher
OUP Oxford
Publication date
2005
Language
English
ISBN 10 
0198524137
ISBN 13 
9780198524137
Binding
Hardcover
Edition number
2
Number of pages
572