Handbook of Bayesian reliability estimation methods
Bayesian reliability estimation methods are summarized in a handbook format for convenient use by reliability practitioners. The methods given consider both attribute test data based on a binomial sampling distribution and a beta prior, as well as variables test data from an exponential sampling distribution and a gamma prior. Classical, Bayes, and empirical Bayes methods are all considered. In addition, the sample test data can arise from either an item-censored life test, either with or without the replacement of failed items as they occur, or from a time-truncated life test with replacement. Real-data examples using nuclear reactor component failure data are used to illustrate each of the methods presented.
- Research Organization:
- Los Alamos Scientific Lab., NM (USA)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 7235137
- Report Number(s):
- LA-6572-MS
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
220200* -- Nuclear Reactor Technology-- Components & Accessories
EQUATIONS
EQUIPMENT
FAILURES
MATHEMATICAL MODELS
MATHEMATICS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
PREDICTION EQUATIONS
PROBABILITY
REACTOR COMPONENTS
RELIABILITY
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
THERMAL POWER PLANTS