
Statistical modelling in GLIM4
Statistical Modelling with GLIM4
Oxford University Press
2nd Edition
Published on 24. March 2005
Book
Hardback
572 pages
978-0-19-852413-7 (ISBN)
Description
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.
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.
Reviews / Votes
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 *More details
Series
Edition
2nd Revised edition
Language
English
Place of publication
Oxford
United Kingdom
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
numerous line figures
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 35 mm
Weight
1016 gr
ISBN-13
978-0-19-852413-7 (9780198524137)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Author
, Professor Fellow, Department of Psychology, University of Melbourne, Australia
, Professor of Social Statistics, Lancaster University
, Department of Mathematics, National University of Ireland, Galway
Content
Preface ; 1. Introducing GLIM4 ; 2. Statistical modelling and inference ; 3. Regression and analysis of variance ; 4. Binary response data ; 5. Multinomial and Poisson response data ; 6. Survival data ; 7. Finite mixture models ; 8. Random effect models ; 9. Variance component models ; References ; Index