SOME BAYES ESTIMATES OF LONG-RUN AVAILABILITY IN A TWO-STATE SYSTEM

Abstract

The method of Bayesian statistical inference is used to derive estimates of operational parameters in a simple system that can be in one of two states: failed, or operative. The sampling plan consists of occasional observations of the system for finite periods: snapshop, plus patch sampling. Numerical examples are given.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1969
Accession Number
AD0691404

Entities

People

  • D. P. Gaver
  • M. Mazumdar

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Mathematics
  • Availability
  • Confidence Limits
  • Data Science
  • Decision Theory
  • Hypergeometric Functions
  • Information Science
  • Intervals
  • Mathematics
  • Military Research
  • New York
  • Observation
  • Operational Readiness
  • Probability
  • Statistical Decision Theory
  • Statistical Inference
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference