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## Details

Document Type: | Book |
---|---|

All Authors / Contributors: |
María Dolores Ugarte; Ana F Militino; Alan T Arnholt |

ISBN: | 9781466504394 1466504390 |

OCLC Number: | 902987031 |

Notes: | "A Chapman & Hall book." |

Description: | xxxiii, 949 pages : illustrations ; 27 cm. |

Contents: | 1. What Is R? -- 2. Exploring Data -- 3. General Probability and Random Variables -- 4. Univariate Probability Distributions -- 5. Multivariate Probability Distributions -- 6. Sampling and Sampling Distributions -- 7. Point Estimation -- 8. Confidence Intervals -- 9. Hypothesis Testing -- 10. Nonparametric Methods -- 11. Experimental Design -- 12. Regression. |

Series Title: | Chapman & Hall/CRC textbooks in computing. |

Responsibility: | María Dolores Ugarte, Public University of Navarre, Pamplona, Navarre, Spain, Ana F. Militino, Public University of Navarre, Pamplona, Navarre, Spain, and Alan T. Arnholt, Appalachian State University, Boone, North Carolina, USA. |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

Praise for the First Edition: "This book covers a wide range of topics in both theoretical and applied statistics ... Detailed executable codes and codes to generate the figures in each chapter are available online ... 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 "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." -The American Statistician, February 2009 "... an impressive book ... 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." -Significance, December 2008 Read more...

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