DATE: | Thursday, December 6, 2001 |
TIME: | 4:30-5:30 PM |
PLACE: | LN 2205 |
SPEAKER: | Julio Stern (University of Sao Paulo, Brazil, and Binghamton University) |
TITLE: | A Weibull Wearout Test: Full Bayesian Approach |
The Full Bayesian Significance Test (FBST) for precise hypotheses is presented, with some applications relevant to reliability theory. The FBST is an alternative to significance tests or, equivalently, to p-values. In the FBST we compute the evidence of the precise hypothesis. This evidence is the probability of the complement of a credible set ``tangent'' to the sub-manifold (of the parameter space) that defines the null hypothesis. We use the FBST in an application requiring a quality control of used components, based on remaining life statistics.