Introductory Statistics With R

Most papers describe the background of the case studies very well and give details on the statistical methods applied. Although more than half of the papers apply different types of hierarchical regression models, there are still a variety of other Bayesian models. As expected, most of these papers use Markov Chain Monte Carlo methods in obtaining a posterior. However, I was a little surprised that many of them implement their algorithms using BUGS, a software package designed to simplify the Bayesian data analysis. In general, I found many of the papers collected in this book interesting. Technometrics readers who are interested in applying Bayesian analysis in real case studies may Ž nd this book useful. One might consider using this book as supplementary material in graduate-level seminar courses on Bayesian data analysis. However, one serious deŽ ciency for this purpose is that only a few papers provide complete datasets.