Bayesian Missile System Reliability from Point Estimates

This paper applies the Maximum Entropy Principle (MEP) to convert point estimates to probability distributions to be used as priors for Bayesian reliability analysis of missile data, and illustrate this approach by applying the priors to a Bayesian reliability model of a missile system.

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Bibliographic Details
Main Authors: Cheng, Benny N, Tam, Lap S
Format: Report
Language:English
Subjects:
BAYES THEOREM
BAYESIAN RELIABILITY
ENTROPY
ESTIMATES
MAXIMUM ENTROPY
MISSILE RELIABILITY
MISSILE SYSTEMS
PRIORS
PROBABILITY DISTRIBUTION FUNCTIONS
RELIABILITY
STATISTICAL DECISION THEORY
STATISTICAL DISTRIBUTIONS
Statistics and Probability
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Description
Summary:This paper applies the Maximum Entropy Principle (MEP) to convert point estimates to probability distributions to be used as priors for Bayesian reliability analysis of missile data, and illustrate this approach by applying the priors to a Bayesian reliability model of a missile system.