Date of Award
2019-01-01
Degree Name
Master of Science
Department
Mathematical Sciences
Advisor(s)
Naijun . Sha
Abstract
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 H´oyland [1]. 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.
Language
en
Provenance
Received from ProQuest
Copyright Date
2019-12
File Size
40 pages
File Format
application/pdf
Rights Holder
Richard Okine
Recommended Citation
Okine, Richard, "Bayesian Analysis Of Variable-Stress Accelerated Life Testing" (2019). Open Access Theses & Dissertations. 2883.
https://scholarworks.utep.edu/open_etd/2883