POINT AND INTERVAL ESTIMATES OF THE SCALE PARAMETER OF WEIBULL POPULATIONS USING POINT AND INTERVAL ESTIMATES FOR EXPONENTIAL POPULATIONS.

Abstract

The linear unbiased estimator of the parameter sigma for exponential populations was given as sigma = C sub m X sub m by Harter using a suitably chosen order statistic X sub m. Interval estimates for sigma were also given by Harter. It is shown here that for Weibull populations with a fixed shape parameter K a linear consistent estimator for the scale parameter theta is given by theta = ((C sub m) to the 1(Kth power)Y sub m) using the Weibull order statistic Y sub m and the coefficient C sub m from Harter's estimate for exponential populations. The estimator obtained here is compared with an unbiased estimator for the Weibull population obtained by Quayle using a single order statistic. The interval estimates obtained by Quayle are found to agree to five significant digits with those found here. The estimator was computed from n=1 to n=100 using the value of m chosen to be most efficient for exponential populations and for K=0.5(0.5)4.0(1.0)6.0. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1964
Accession Number
AD0832502

Entities

People

  • A. H. Moore

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Estimators
  • Intervals

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.