Theory System Reliability Demonstration and Burn-in Design

Abstract

Research accomplishments were registered in three areas. The first is lifetime estimation with truncated data. Maximum likelihood estimators and their asymptotic properties were studied. A Monte Carlo comparison of several estimators was performed when only in terval data on lifetimes is available. The second area is under what conditions a 'burn-in' was developed and tested using sequential estimation. Thirdly, distributions other than Poisson were tried, and it was found that in some cases a binomial approximation provides a more robust testing scheme for series systems with aging components. (sdw)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1989
Accession Number
ADA217775

Entities

People

  • Saul Blumenthal

Organizations

  • Ohio State University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Bayesian Inference
  • Binomials
  • Computer Programs
  • Data Science
  • Demonstrations
  • Estimators
  • Information Science
  • Mathematics
  • Probability
  • Random Variables
  • Reliability
  • Scientific Research
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics

Readers

  • Computational Modeling and Simulation
  • Software Engineering
  • Statistical inference.