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. 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.

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 conclus...

Titre :Statistical Modelling in R

Format :Couverture souple

Dimensions de l'article :568 pages, 9.21 X 6.14 X 0.07 po

Dimensions à l'expédition :568 pages, 9.21 X 6.14 X 0.07 po

Publié le :28 février 2009

Publié par :Oxford University Press

Langue :anglais

Convient aux âges :Tous les âges

ISBN - 13 :9780199219131

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Statistical Modelling in R

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