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Bayesian reliability analysis using the Dirichlet prior distribution with emphasis on accelerated life testing run in random order

✍ Scribed by Ian F. Somerville; Duane L. Dietrich; Thomas A. Mazzuchi


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
632 KB
Volume
30
Category
Article
ISSN
0362-546X

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✦ Synopsis


This paper examines Bayesian analysis as a tool for predicting both reliability growth and reliability of censored multi-level, multi-stress accelerated life tests. The methodology is examined using the Dirichlet prior distribution in reliability growth applications and in randomly ordered accelerated life tests occurring iu designed experiments (DOE). A simulation is used to examine the utility and accuracy of the approach both graphically and statistically.

The results are both enlightening and conclusive.