Description
Book SynopsisA controversial philosophical approach to statistics following the work of Rev Thomas Bayes (1701). To solve a problem or to make a decision, the Bayesian collects data from all possible theories and assigns a probability to them. This generates a prior distribution from which, workable parameters are determined and complex calculations are made.
Trade Review"an excellent primary source for those who wish to learn about thelearning and decision process in a situation of uncertainty..."(Measurement Science Technology, February 2001)
"an ideal source for all students and researchers in statisticsmathematics, decision analysis, economic and business studies andall branches of science and engineering who wish to further theirunderstanding of Bayesian statistics." (Zentralblatt Fur Didaktikder Mathematik)
"...Bayesians will find it indispensable: non-Bayesians will find,and enjoy, much thought-provoking material to challenge theirorthodoxy...." (The Statistician, Vol.51, No.2, 2002)
Table of ContentsFoundations.
Generalisations.
Modelling.
Inference.
Remodelling.
Appendices.
References.
Indexes.
