Statistical modelling in R
By: Murray Aitkin, Brian Francis, John Hinde.
Contributors: Francis, B.; Hinde, John, 1952-
Series: Oxford statistical science series -- no. 35
Publisher: Oxford University Press; Oxford University Press, USA
Published: 2009
Place of publication: New York
Language: eng
Number of pages: 588
ISBN-13: 9780199219131; 9780199219148
Subjects: R (Computer program language); Mathematical statistics -- Data processing
Description: "R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that it is now the leading-edge statistical package/language and that it can be freely downloaded from the R website. Its cooperative development and open code also attract many contributors which means 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 substantial discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, and mixtures of these distributions, making this book ideal for undergraduates and research students in applied statistics and a wide range of quantitative disciplines."--The book cover.