Bayesian Missile System Reliability from Point Estimates

Abstract

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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Document Details

Document Type
Technical Report
Publication Date
Oct 28, 2014
Accession Number
ADA611099

Entities

People

  • Benny N. Cheng
  • Lap S. Tam

Organizations

  • Naval Surface Warfare Center

Tags

DTIC Thesaurus Topics

  • Bayesian Inference
  • Bernoulli Distribution
  • Bessel Functions
  • Computer Science
  • Data Science
  • Decision Theory
  • Equations
  • Information Science
  • Monte Carlo Method
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Reliability
  • Standards
  • Statistical Decision Theory
  • Surface Warfare

Readers

  • Missile Defense Systems.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference