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Statistical modelling in R

Aitkin, Murray and Francis, Brian and Hinde, John and Darnell, Ross (2009) Statistical modelling in R. Oxford Statistical Science Series . Oxford University Press, Oxford. ISBN 9780199219131

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Abstract

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.

Item Type: Book/Report/Proceedings
Subjects: UNSPECIFIED
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 53167
Deposited By: ep_importer_pure
Deposited On: 09 Mar 2012 03:44
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2014 02:14
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/53167

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