Probability Statistics with R

! This book covers a wide range of topics in both theoretical and applied statistics ! the authors list both R and S--PLUS commands and clearly note when a command is applicable only in either S--PLUS or R. Therefore, S--PLUS users also should find this book useful. Detailed executable codes and codes to generate the figures in each chapter are available online at http://www1.appstate.edu/#arnholta/PASWR/front.htm ! nicely blend[s] mathematical statistics, statistical inference, statistical methods, and computational statistics using S language ... . Students or self-learners can learn some basic techniques for using R in statistical analysis on their way to learning about various topics in probability and statistics. This book also could serve as a wonderful stand-alone textbook in probability and statistics if the computational statistics portions are skipped. --Technometrics, May 2009, Vol. 51, No. 2 The book is comprehensive and well written. The notation is clear and the mathematical derivations behind nontrivial equations and computational implementations are carefully explained. Rather than presenting a collection of R scripts together with a summary of relevant theoretical results, this book offers a well-balanced mix of theory, examples and R code. --Raquel Prado, University of California, Santa Cruz, The American Statistician, February 2009 ! an impressive book ! Overall, this is a good reference book with comprehensive coverage of the details of statistical analysis and application that the social researcher may need in their work. I would recommend it as a useful addition to the bookshelf. --Eirini Koutoumanou, University College London, Significance, December 2008