Introduction to Probability Simulation and Gibbs Sampling with R is popular PDF and ePub book, written by Eric A. Suess in 2010-06-15, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Introduction to Probability Simulation and Gibbs Sampling with R can be Read Online from any device for your convenience.
Introduction to Probability Simulation and Gibbs Sampling with R Book PDF Summary
The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling. These initial chapters can be used for a non-Bayesian course in the simulation of applied probability models and Markov Chains. Chapters 8 through 10 give a brief introduction to Bayesian estimation and illustrate the use of Gibbs samplers to find posterior distributions and interval estimates, including some examples in which traditional methods do not give satisfactory results. WinBUGS software is introduced with a detailed explanation of its interface and examples of its use for Gibbs sampling for Bayesian estimation. 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.
Detail Book of Introduction to Probability Simulation and Gibbs Sampling with R PDF
- Author : Eric A. Suess
- Release : 15 June 2010
- Publisher : Springer Science & Business Media
- ISBN : 9780387402734
- Genre : Mathematics
- Total Page : 317 pages
- Language : English
- PDF File Size : 12,8 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Introduction to Probability Simulation and Gibbs Sampling with R by Eric A. Suess, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.