Confidence Interval Procedures for Reliability Growth Analysis

Abstract

The Weibull Process (a nonhomogeneous Poisson process with intensity r(t) = lambda beta t (beta-1)) is considered as a stochastic model for the Duane reliability growth postulate. Under this model the mean time between failure for the system at time t is given by M(t) = 1/(r(t)). Small sample and asymptotic confidence intervals on M(t) are determined for failure and time truncated testing. Tabled values to compute the confidence intervals and numerical examples illustrating these procedures are also presented.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1977
Accession Number
ADA044788

Entities

People

  • Larry H. Crow

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Army Aviation
  • Attack Helicopters
  • Bessel Functions
  • Computer Programs
  • Data Science
  • Information Science
  • Intensity
  • Intervals
  • Knowledge Management
  • Logistics Management
  • Models
  • Probabilistic Models
  • Probability
  • Random Variables
  • Reliability
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Statistical inference.