Estimating the Scale Parameter of an Exponential Distribution from a Sample of Time-Censored r-th Order Statistics,

Abstract

The problem of estimating the mean, theta, of an exponential distribution is studied, when the data available are a random sample of time-censored r-th order statistics. Examples for such empirical situations are cited in the paper. Maximum Likelihood (MLE) and Moment Equation (MEE) estimators are studied. Theoretical derivations are provided for the large sample variances and distributions of these estimators. The efficiency of the MEE compared to the MLE is studied. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 09, 1984
Accession Number
ADA148060

Entities

People

  • S. Zacks

Organizations

  • George Washington University

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Applied Mathematics
  • Asymptotic Normality
  • Data Analysis
  • Data Science
  • Efficiency
  • Engineering
  • Equations
  • Estimators
  • Information Science
  • Mathematics Laboratories
  • Military Research
  • Order Statistics
  • Probability
  • Random Variables
  • Statistical Samples
  • Statistics
  • Test And Evaluation

Fields of Study

  • Mathematics

Readers

  • Statistical inference.