Sign In | Not yet a member? | Submit your article
 
Home   Technical   Study   Novel   Nonfiction   Health   Tutorial   Entertainment   Business   Magazine   Arts & Design   Audiobooks & Video Training   Cultures & Languages   Family & Home   Law & Politics   Lyrics & Music   Software Related   eBook Torrents   Uncategorized  
Letters: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)
Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)
Date: 21 April 2011, 15:13

Free Download Now     Free register and download UseNet downloader, then you can FREE Download from UseNet.

    Download without Limit " Introduction to Probability Simulation and Gibbs Sampling with R (Use R!) " from UseNet for FREE!
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.

DISCLAIMER:

This site does not store Introduction to Probability Simulation and Gibbs Sampling with R (Use R!) on its server. We only index and link to Introduction to Probability Simulation and Gibbs Sampling with R (Use R!) provided by other sites. Please contact the content providers to delete Introduction to Probability Simulation and Gibbs Sampling with R (Use R!) if any and email us, we'll remove relevant links or contents immediately.



Comments

Comments (0) All

Verify: Verify

    Sign In   Not yet a member?


Popular searches