Statistical Modelling in R.

Murray Aitkin / Brian Francis / John Hinde / Ross Darnell

ISBN 10: 0199219133 / ISBN 13: 9780199219131

Published by New York. Oxford University Press. 2009., 2009

About this Item

Softcover. gr. 8°. xii, 576 pages. with Figures and tables. less marks of use. good condition. Series, Oxford Statistical Science, 35" in englischer Sprache (in english).

Seller Inventory # 2640007

Bibliographic Details

• Title: Statistical Modelling in R.
• Publisher: New York. Oxford University Press. 2009.
• Publication Date: 2009
• Language: English
• ISBN 10: 0199219133
• ISBN 13: 9780199219131
• Binding: Hardcover
• Condition: sehr gut
• Seller catalogs:
  • MATHEMATIK

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