A Comparison between MLE and BLUE for a Decreasing Failure Rate Distribution when Using Censored-Data.

Abstract

Estimation procedures for the shape and scale parameters of a mixed exponential, decreasing failure rate distribution are compared and the more advantageous methods are determined for various situations. The maximum likelihood estimate, MLE, is slightly more accurate than Best Linear Unbiased Estimator of the scale parameter based on the first K order statistics. In the joint case the MLE's are much superior to other possible estimates of the distribution. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1980
Accession Number
ADA087359

Entities

People

  • James Lucke
  • Janet Myhre
  • Patrick Williams
  • Sam Saunders

Organizations

  • Claremont McKenna College

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Data Science
  • Distribution Functions
  • Equations
  • Estimators
  • Information Science
  • Method Of Moments
  • Military Research
  • Numbers
  • Order Statistics
  • Public Policy
  • Reliability
  • Simulations
  • Square Roots
  • Standards
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.