Statistical modelling in GLIM4

Author:   Murray Aitkin (, Professor Fellow, Department of Psychology, University of Melbourne, Australia) ,  Brian Francis (, Professor of Social Statistics, Lancaster University) ,  John Hinde (, Department of Mathematics, National University of Ireland, Galway)
Publisher:   Oxford University Press
Edition:   2nd Revised edition
Volume:   32
ISBN:  

9780198524137


Pages:   572
Publication Date:   24 March 2005
Format:   Hardback
Availability:   To order   Availability explained
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Statistical modelling in GLIM4


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Author:   Murray Aitkin (, Professor Fellow, Department of Psychology, University of Melbourne, Australia) ,  Brian Francis (, Professor of Social Statistics, Lancaster University) ,  John Hinde (, Department of Mathematics, National University of Ireland, Galway)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Edition:   2nd Revised edition
Volume:   32
Dimensions:   Width: 16.40cm , Height: 3.60cm , Length: 24.10cm
Weight:   0.985kg
ISBN:  

9780198524137


ISBN 10:   0198524137
Pages:   572
Publication Date:   24 March 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

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

Reviews

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


Review from previous edition `... 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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