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Statistical Modelling in R Oxford Statistical Science



This book is a comprehensive treatment of the theory of statistical modelling in R. It has an emphasis on applications to practical problems and an expanded discussion of statistical theory. It uses the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making it ideal for graduates and research students in applied statistics and a wide range of qualitative disci... more details
Key Features:
  • Comprehensive treatment of the theory of statistical modelling in R
  • Emphasis on applications to practical problems
  • Expanded discussion of statistical theory


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Features
Author Murray Aitkin,Brian Francis,John Hinde,Ross Darnell
Format Softcover
ISBN 9780199219131
Publisher Oxford University Press, Usa
Manufacturer Oxford University Press, Usa
Description
This book is a comprehensive treatment of the theory of statistical modelling in R. It has an emphasis on applications to practical problems and an expanded discussion of statistical theory. It uses the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making it ideal for graduates and research students in applied statistics and a wide range of qualitative disciplines.

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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