Statistical Modelling in R

Murray A. Aitkin

ISBN 10: 0199219133 ISBN 13: 9780199219131

Published by Oxford University Press, 2009

Language: English

Condition: Used - Fine Soft cover

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Abnutzung / Risse - leicht; Vergilbt / ausgeblichen. 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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Bibliographic Details

Title

Statistical Modelling in R

Publisher

Oxford University Press

Publication Date

2009

Language

English

ISBN 10

0199219133

ISBN 13

9780199219131

Binding

Softcover

Condition

Fine

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Sociology

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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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