ON RELIABILITY INFERENCE

Abstract

The report states that an important aspect of any system is its reliability, or its probability of successful operation. The report also states that such a probability (R), is never known exactly in practice but may only be approximated by an estimate (R), based on either a subjective probability analysis or on an analysis of actual failure history of the system. The report states that if the estimate R is based on failure history, its accuracy can be precisely quantified in the form of conference; this paper is concerned with such quantification under various assumptions regarding the failure law (including the case of no assumption).

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Document Details

Document Type
Technical Report
Publication Date
Mar 15, 1963
Accession Number
AD0402645

Entities

People

  • E. L. Pugh

Organizations

  • System Development Corporation

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Accuracy
  • Contracts
  • Data Science
  • Distribution Functions
  • Equations
  • Government Procurement
  • Governments
  • Information Science
  • Life Tests
  • Order Statistics
  • Probability
  • Random Variables
  • Reliability
  • Statistical Samples
  • Test And Evaluation
  • United States
  • United States Government

Fields of Study

  • Engineering

Readers

  • Regression Analysis.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference