Estimates and Approximate Confidence Limits for (LOG) Normal Life Distributions from Singly Censored Samples by Maximum Likelihood.

Abstract

This report presents a simple table for maximum likelihood estimates of the parameters of a normal or lognormal life distribution when the data are analyzed before all test units fail. The report also presents a table of the large-sample variances and covariances of the parameter estimates; the report shows how to use this table to obtain approximate confidence limits for the parameters and other quantities, such as failure probabilities. An example on the life of locomotive controls illustrates the use of the tables.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1977
Accession Number
ADA061495

Entities

People

  • Josef Schmee
  • Wayne Nelson

Organizations

  • General Electric

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Computer Programs
  • Computers
  • Confidence Limits
  • Control Systems
  • Covariance
  • Data Analysis
  • Data Science
  • Distribution Functions
  • Estimators
  • Information Science
  • Life Tests
  • Locomotives
  • New York
  • Normal Distribution
  • Plastic Explosives
  • Reliability
  • Standards

Fields of Study

  • Mathematics

Readers

  • Statistical inference.