A New Approach to Inference from Accelerated Life Tests.

Abstract

A recent paper has proposed a new approach for making inferences from accelerated life tests. Their approach is significantly different from those that have been considered in the past, and is motivated by what is actually done in practice. A priori information which is generally available to the engineer is incorporated under their approach by adopting a bayesian point of view. The usual assumptions about the failure distributions and the acceleration functions, which are appealing from a statistical point of view, have been sacrificed to achieve greater reality. In this paper, we apply this new approach to some real life data arising from an accelerated life test. In the process, we explain our new approach in a manner which makes it easy to understand and apply by the reliability practitioner.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1978
Accession Number
ADA065325

Entities

People

  • Frank Proschan
  • Nozer Singpurwalla

Organizations

  • George Washington University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Bayesian Networks
  • Engineering
  • Engineers
  • Environment
  • Equations
  • Estimators
  • Failure Mode And Effect Analysis
  • Intervals
  • Life Tests
  • Long Life
  • New York
  • Probability
  • Reliability
  • Statistical Inference
  • Statistics
  • Time Intervals

Fields of Study

  • Mathematics

Readers

  • Materials Science and Engineering.
  • Systems Analysis and Design
  • Theoretical Analysis.

Technology Areas

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