All Shops

Go to British Wildlife

6 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published six times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £25 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £18 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Introduction to Probability Simulation and Gibbs Sampling with R

Textbook Handbook / Manual
Series: Use R!
By: Eric A Suess(Author), Bruce E Trumbo(Author)
324 pages, b/w illustrations
Publisher: Springer-Verlag
Introduction to Probability Simulation and Gibbs Sampling with R
Click to have a closer look
Select version
  • Introduction to Probability Simulation and Gibbs Sampling with R ISBN: 9780387402734 Paperback Mar 2005 Usually dispatched within 1-2 weeks
    £54.99
    #201660
Selected version: £54.99
About this book Contents Customer reviews Biography Related titles

About this book

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 Introduction to Probability Simulation and Gibbs Sampling with R 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 Introduction to Probability Simulation and Gibbs Sampling with R ideal for students of statistics at the senior undergraduate and at the beginning graduate levels.

Contents

- Introductory Examples: Simulation, Estimation, and Graphics
- Generating Random Numbers
- Monte Carlo Integration and Limit Theorems
- Sampling from Applied Probability Models
- Screening Tests
- Markov Chains with Two States
- Examples of Markov Chains with Larger State Spaces
- Introduction to Bayesian Estimation
- Using Gibbs Samplers to Compute Bayesian Posterior Distributions
- Using WinBUGS for Bayesian Estimation
- Appendix: Getting Started with R

Customer Reviews

Biography

Eric A. Suess is Chair and Professor of Statistics and Biostatistics and Bruce E. Trumbo is Professor Emeritus of Statistics and Mathematics, both at California State University, East Bay. Professor Suess is experienced in applications of Bayesian methods and Gibbs sampling to epidemiology. Professor Trumbo is a fellow of the American Statistical Association and the Institute of Mathematical Statistics, and he is a recipient of the ASA Founders Award and the IMS Carver Medallion.

Textbook Handbook / Manual
Series: Use R!
By: Eric A Suess(Author), Bruce E Trumbo(Author)
324 pages, b/w illustrations
Publisher: Springer-Verlag
Current promotions
Backlist BargainsThe Mammal SocietyOrder your free copy of our 2018 equipment catalogueBritish Wildlife