Applied Bayesian Statistics With R and OpenBUGS Examples /

• Main Author: Cowles, Mary Kathryn. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Springer Texts in Statistics, 98
• Subjects: Statistics.; Mathematical statistics.; Statistical Theory and Methods.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-5696-4

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs� in Statistics, Biostatis...

Table of Contents:

• What is Bayesian statistics?
• Review of probability
• Introduction to one-parameter models
• Inference for a population proportion
• Special considerations in Bayesian inference
• Other one-parameter models and their conjugate priors
• More realism please: Introduction to multiparameter models
• Fitting more complex Bayesian models: Markov chain Monte Carlo
• Hierarchical models, and more on convergence assessment
• Regression and hierarchical regression models
• Model Comparison, Model Checking, and Hypothesis Testing
• References
• Index.