Statistical Modelling in R

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Brand: OUP Oxford

ISBN: 9780199219148

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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 besubstantially 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.

Product Details

Brand OUP Oxford

Reference 86226

EAN13 9780199219148

ISBN 9780199219148

Data sheet

Publication date: 2009
Issue number: 1
Cover: hard cover
Pages count: 592
Dimensions (mm): 160 x 241
Weight (g): 985

Preface; Introducing R; Statistical modelling and inference; Regression and analysis of variance; Binary response data; Multinomial and Poisson response data; Survival data; Finite mixture models; Random effects models; Variance component models; Bibliography; R function and constant index; Dataset index; Subject index;