Probability and Statistics with R

Maria Dolores Ugarte author Ana F Militino author Alan T Arnholt author

Format:Hardback

Publisher:Taylor & Francis Inc

Published:21st Jul '15

Currently unavailable, and unfortunately no date known when it will be back

Probability and Statistics with R cover

Cohesively Incorporates Statistical Theory with R Implementation

Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs.

New to the Second Edition

  • Improvements to existing examples, problems, concepts, data, and functions
  • New examples and exercises that use the most modern functions
  • Coverage probability of a confidence interval and model validation
  • Highlighted R code for calculations and graph creation

Gets Students Up to Date on Practical Statistical Topics

Keeping pace with today’s statistical landscape, this textbook expands your students’ knowledge of the practice of statistics. It effectively links statistical concepts with R procedures, empowering students to solve a vast array of real statistical problems with R.

Web Resources

A supplementary website offers solutions to odd exercises and templates for homework assignments while the data sets and R functions are available on CRAN.

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

ISBN: 9781466504394

Dimensions: unknown

Weight: 2022g

984 pages

2nd edition