Authors:
- Probability simulation using R inlcuding the simulations of the Law
- of Large numbers and the Central Limit Theorem
- Introduces the most common methods of Monte Carlo integration using R.
- Gibbs sampling introduced using R and WinBUGS to obtain interval estimates; graphical diagnostic methods used to illustrate speed of convergence.
Part of the book series: Use R! (USE R)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
No previous experience using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems (along with comments and explanations). Noteworthy features of the book are its intuitive approach, presenting ideas with examples from biostatistics, reliability, and other fields; its large number of figures; and its extraordinarily large number of problems (about a third of the pages), ranging from simple drill to presentation of additional topics. Hints and answers are provided for many of the problems. These features make the book ideal for students of statistics at the senior undergraduate and at the beginning graduate levels.
Reviews
From the reviews:
“Suess and Trumbo’s book ‘Introduction to Probability Simulation and Gibbs Sampling with R,’ part of the ‘Use R!’ series, fits precisely into this framework of learning by doing—and doing again, with different distributions, or different parameters, or under different scenarios. … The book also contains an Appendix with an introduction to R, which should make it particularly attractive to students, who won’t have to go to another source to learn about the basics. … an overall very useful book.” (Nicole Lazar, Technometrics, Vol. 53 (3), August, 2011)Authors and Affiliations
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, Department of Statistics and Biostatisti, California State University, East Bay, Hayward, USA
Eric A. Suess, Bruce E. Trumbo
About the authors
Bibliographic Information
Book Title: Introduction to Probability Simulation and Gibbs Sampling with R
Authors: Eric A. Suess, Bruce E. Trumbo
Series Title: Use R!
DOI: https://doi.org/10.1007/978-0-387-68765-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Softcover ISBN: 978-0-387-40273-4Published: 15 June 2010
eBook ISBN: 978-0-387-68765-0Published: 27 May 2010
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XIII, 307
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs