A GENERAL COMPUTATIONAL ALGORITHM FOR BAYESIAN CONFIDENCE BOUNDS, WITH APPLICATION TO THE WEIBULL, LOGNORMAL, AND GAMMA DENSITIES.

Abstract

The general Bayesian concept of random variables is introduced. Application of this concept to confidencing the reliability or safe life of a component is discussed. A computational algorithm which simplifies the calculations and which is applicable to almost any parameter space is presented. The necessary formulas are derived for application to the Weibull, lognormal, and gamma distributional forms. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1969
Accession Number
AD0688862

Entities

People

  • Richard W. Clarke

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Random Variables
  • Reliability

Readers

  • Regression Analysis.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Space