Statistical Modelling in R (Paperback)

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.

General

Imprint:	Oxford UniversityPress
Country of origin:	United Kingdom
Series:	Oxford Statistical Science Series, 35
Release date:	2009
First published:	April 2009
Authors:	Murray Aitkin • Brian Francis • John Hinde • Ross Darnell
Dimensions:	233 x 156 x 31mm (L x W x T)
Format:	Paperback
Pages:	592
ISBN-13:	978-0-19-921913-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	0-19-921913-3
Barcode:	9780199219131

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