Families of Distributions with Positive Memory Derived from the Mean Residual Life Function.

Abstract

The probability law of a positive random variable with finite mean is uniquely determined by the mean residual life function. This function is useful as an indicator of wearout and similar mechanisms. The amount of memory of a distribution is defined and positive memory is related to a decreasing mean residual life function. The properties of the mean residual life function and the hazard function are compared. Several distribution models are derived based on a simple analytical form of a decreasing mean residual life function.

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1975
Accession Number
ADA020870

Entities

People

  • Eginhard J. Muth

Organizations

  • University of Florida

Tags

DTIC Thesaurus Topics

  • Indicators
  • Mathematics
  • Probability
  • Random Variables
  • Residuals

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Structural Health Monitoring of Composite Structures.