Accession Number:

ADA148060

Title:

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

Descriptive Note:

Corporate Author:

GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR MANAGEMENT SCIENCE AND ENGINEERING

Personal Author(s):

Report Date:

1984-10-09

Pagination or Media Count:

33.0

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

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE