
Statistical Modelling in R
Oxford University Press
Published on 29. January 2009
Book
Paperback/Softback
592 pages
978-0-19-921913-1 (ISBN)
Description
R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that for many years it has been the leading-edge statistical package/language and that it can be freely downloaded from the R web site. Its cooperative development and open code also attracts many contributors meaning that the modelling and data analysis possibilities in R are much richer than in GLIM4, and so the R edition can be substantially more comprehensive than the GLIM4 edition of Statistical Modelling.
This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines.
This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Target group
College/higher education
Illustrations
167 line illustrations, 1 halftone
Dimensions
Height: 233 mm
Width: 156 mm
Thickness: 31 mm
Weight
877 gr
ISBN-13
978-0-19-921913-1 (9780199219131)
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
Other editions
Additional editions

Murray Aitkin | Brian Francis | John Hinde
Statistical Modelling in R
Book
01/2009
Oxford University Press
€192.50
Shipment within 15-20 days
Persons
Murray Aitkin is a Professorial Fellow at the Department of Mathematics and Statistics, University of Melbourne. In 1992 he was awarded an ARC Senior Research Fellowship, initially at the Australian National University and then at the University of Western Australia, where he worked on foundational issues in statistics. At the conclusion of the fellowship he was appointed to the Chair of Statistics at the University of Newcastle, UK, from which he took early retirement in 2004. In 2000-2002 he held a consulting position as Chief Statistician at the Education Statistics Services Institute, a division of the American Institutes for Research which provided consultancy to the National Center for Education Statistics of the US Department of Education. He continued to work as a consultant for NCES after 2002 at Newcastle, and this continues in Melbourne.
John Hinde is Professor of Statistics at the National University of Ireland Galway having previously worked at the Universities of Exeter and Lancaster in the UK. It was while at Lancaster that he met his co-authors and wrote the original book Statistical Modelling in GLIM that was later revised and has now been translated to R. His interests are in all aspects of statistical modelling, including generalized linear models and their extensions, and statistical computing. Particular interests are in overdispersion modelling, mixture models, and random effect models. He was a joint founding editor of the journal Statistical Modelling and served as Chairman of the Statistical Modelling Society. He is currently President of the Irish Statistical Association.
Dr Darnell has in excess of 25 years experience working as a statistical consultant and statistics lecturer in universities in Australia and the UK as well as for research organisations. Currently with CSIRO's Division of Mathematical and Information Sciences as a senior applied statistician working on environmental statistics.
John Hinde is Professor of Statistics at the National University of Ireland Galway having previously worked at the Universities of Exeter and Lancaster in the UK. It was while at Lancaster that he met his co-authors and wrote the original book Statistical Modelling in GLIM that was later revised and has now been translated to R. His interests are in all aspects of statistical modelling, including generalized linear models and their extensions, and statistical computing. Particular interests are in overdispersion modelling, mixture models, and random effect models. He was a joint founding editor of the journal Statistical Modelling and served as Chairman of the Statistical Modelling Society. He is currently President of the Irish Statistical Association.
Dr Darnell has in excess of 25 years experience working as a statistical consultant and statistics lecturer in universities in Australia and the UK as well as for research organisations. Currently with CSIRO's Division of Mathematical and Information Sciences as a senior applied statistician working on environmental statistics.
Author
Professorial Fellow, Department of Mathematics and Statistics, University of Melbourne
Department of Mathematics and Statistics, Lancaster University
Professor of Statistics, School of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway
Senior Applied Statistician, CSIRO Mathematical and Information Sciences, Australia
Content
PREFACE ; BIBLIOGRAPHY ; R FUNCTION AND CONSTANT INDEX ; DATASET INDEX ; SUBJECT INDEX