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. Series: Oxford Statistical Science Series. Num Pages: 592 pages, 167 line illustrations, 1 halftone. BIC Classification: JHBC; MBNS; PBT; UFM. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 241 x 160 x 35. Weight in Grams: 985. . 2009. Hardback. . . . .

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Bibliographic Details

Title: Statistical Modelling in R
Publisher: Oxford University Press
Publication Date: 2009
Language: English
ISBN 10: 0199219141
ISBN 13: 9780199219148
Binding: Hardcover
Condition: New

About this title

Synopsis

R is now the most widely used statistical package/language in university statistics departments and many research organizations. Its great advantages are that for many years, it has been the leading statistical package/language and that it can be freely downloaded from the R website. 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 qualitative disciplines.

About the Author

Murray Aitkin, Professorial Fellow, Department of Mathematics and Statistics, University of Melbourne, Brian Francis, Department of Mathematics and Statistics, Lancaster University, John Hinde, Professor of Statistics, School of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, and Ross Darnell, CSIRO Mathematical and Information Sciences, Australia

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