The top two overall references for practicing (as opposed to theoretical) statisticians are : Jeff Gill, Bayesian Methods - A Social and Behavioral Sciences Approach, 2nd Edition, 2008, Chapman & Hall/CRC. Gelman, Carlin, Stern & Rubin, Bayesian Data Analysis, 2nd Edition, 2004, Chapman & Hall/CRC. Gill's book is more approachable as an introduction and explains Bayesianism better (IMO). As the title indicates, it is more focused on the use of Bayesian statistics in social science applications than the other book. Gelman et al is a standard reference for many statisticians and has more practical information on the use of models for Bayesian data analysis. --- An excellent practical introduction for learning how Bayesian statistics are actually used (but not as a reference) is: Scott M. Lynch, Introduction to Applied Bayesian Statistics and Estimation for Social Scientists, 2007, Springer. --- Note that you will need a reasonable grasp of classical (frequentist) statistics, calculus and statistical programming to follow much of any book on Bayesian statistics. The ones listed all use R for examples, so it will also help if you know a little about R or S-Plus. Jan Werner _______________ Cheryl Handsaker wrote: > ** Be sure to fill out the survey/skills inventory in the member's area. > ** If you did, we all thank you. > > > > > > Greetings, all, > > I'm interested in purchasing a book for both reference and learning > about Bayesian statistics. Does anyone have a recommendation? > > Thanks, > Cheryl > > > > > _______________________________________________ > Hidden-discuss mailing list - home page: http://www.hidden-tech.net > Hidden-discuss at lists.hidden-tech.net > > You are receiving this because you are on the Hidden-Tech Discussion list. > If you would like to change your list preferences, Go to the Members > page on the Hidden Tech Web site. > http://www.hidden-tech.net/members