Statistical Modelling in R
Series: Oxford Statistical Science Series; 35;
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Product details:
- Publisher OUP Oxford
- Date of Publication 29 January 2009
- ISBN 9780199219148
- Binding Hardback
- No. of pages592 pages
- Size 241x160x35 mm
- Weight 985 g
- Language English
- Illustrations 167 line illustrations, 1 halftone 0
Categories
Short description:
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.
MoreLong 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.
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.
Table of Contents:
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
