Date of Award
Master of Science
Naijun . Sha
Several authors have over the years studied the art of modeling data from accelerated life testing and making inferences from such data. In this study, we consider a continuously varying stress accelerated life testing procedure which is the limiting case of the multiple stress-level discussed by Doksum and HÂ´oyland . We derive the likelihood function for the life distribution of the continuously increasing stress accelerated life testing model and consequently the Fisher's Information Matrix. We propose a Bayesian analysis for this distribution using the Gibbs Sampling Procedure. We conduct simulation studies and real data analysis to demonstrate the efficiency of the proposed Bayesian approach to parameter estimation over that of maximum likelihood estimation procedure.
Received from ProQuest
Okine, Richard, "Bayesian Analysis Of Variable-Stress Accelerated Life Testing" (2019). Open Access Theses & Dissertations. 2883.