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Oxford Statistical Science Series - 35: Statistical Modelling in R

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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.

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Oxford Statistical Science Series - 35: Statistical Modelling in R, Murray A. Aitkin, Brian Francis, John Hinde, Ross Darnell

Jazyk
Rok vydání
2009
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Cena
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Titul
Oxford Statistical Science Series - 35: Statistical Modelling in R
Jazyk
anglicky
Rok vydání
2009
Vazba
měkká
Počet stran
588
ISBN10
0199219133
ISBN13
9780199219131
Série
Anotace
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.