Introduction to Bayesian Statistics, 3rd Edition
$163.95
- Hardcover
624 pages
- Release Date
23 September 2016
Summary
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used.
In this third Edition, four newly-added chapters address topics that reflect the rapid advances in the field of Bayesian statistics. The authors continue to provide a Bayesian treatm…
Book Details
| ISBN-13: | 9781118091562 |
|---|---|
| ISBN-10: | 1118091566 |
| Author: | William M. Bolstad, James M. Curran |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 624 |
| Edition: | 3rd |
| Release Date: | 23 September 2016 |
| Weight: | 975g |
| Dimensions: | 234mm x 158mm x 33mm |
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About The Author
William M. Bolstad
WILLIAM M. BOLSTAD, PhD, is a retired Senior Lecturer in the Department of Statistics at The University of Waikato, New Zealand. Dr. Bolstad’s research interests include Bayesian statistics, MCMC methods, recursive estimation techniques, multiprocess dynamic time series models, and forecasting. He is author of Understanding Computational Bayesian Statistics, also published by Wiley.
JAMES M. CURRAN is a Professor of Statistics in the Department of Statistics at the University of Auckland, New Zealand. Professor Curran’s research interests include the statistical interpretation of forensic evidence, statistical computing, experimental design, and Bayesian statistics. He is the author of two other books including Introduction to Data Analysis with R for Forensic Scientists, published by Taylor and Francis through its CRC brand.
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