On Estimating the Reliability of a Component Subject to Several Different Stresses

Abstract

A great deal has been written concerning the estimation of the probability and testing of whether one of two random variables is stochastically larger than the other and its relationship to the estimation of reliability for stress-strength relationships. A more general problem is the estimation and testing of whether one of N + 1 random variables is simultaneously stochastically larger (smaller) than the others. An initial paper which deals with this problem for the special case N = 2 is that of D. R. Whitney (1951), A Bivariate Extension of the U Statistic, where he provides a test function and discusses the asymptotic normality of the statistics proposed under the null hypothesis that all the random variables have the same distribution function. In the report, the problem of estimation of the probability of whether one of N + 1 mutually independent random variables, each having a continuous cumulative distribution function, is simultaneously stochastically larger (smaller) than the others has been considered.

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Document Details

Document Type
Technical Report
Publication Date
Nov 22, 1971
Accession Number
AD0735858

Entities

People

  • Satish Chandra

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Coefficients
  • Confidence Limits
  • Data Science
  • Distribution Functions
  • Electric Current
  • Information Science
  • Mathematical Models
  • Models
  • Normal Distribution
  • Probability
  • Probability Distributions
  • Random Variables
  • Statistical Samples
  • Statistics
  • Theorems
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.