Expected Information from a Life Test Experiment.

Abstract

Expected information gain as a result of life testing n units for time t is calculated for the time transformed exponential model and a utility function based on entropy. We show that the expected information gain is concave increasing in n and a transform of the test time t. A computer program for calculating expected entropy for the Weibull distribution model is given. This may provide practical guidance in designing life test experiments.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1982
Accession Number
ADA120878

Entities

People

  • Jaw Huan Hsiung
  • Richard E. Barlow

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • California
  • Computer Programs
  • Computers
  • Decision Theory
  • Integrals
  • Life Tests
  • Measurement
  • Observation
  • Operations Research
  • Pressure Vessels
  • Probability
  • Reliability
  • Security
  • Statistical Decision Theory
  • Statistics
  • United States

Readers

  • Statistical inference.
  • Systems Analysis and Design