NEARLY BEST LINEAR UNBIASED ESTIMATION OF THE MEAN AND STANDARD DEVIATION OF THE LOGISTIC DISTRIBUTION.

Abstract

The method of nearly best linear unbiased estimation, which was developed through order statistics, for obtaining unbiased estimators for use in estimating the location and scale parameters of continuous distribution is applied to the logistic distribution. Coefficients for multiplying ordered logistic statistics are developed for full and censored samples of size N=15(1)40. Two types of censoring are used. First, each sample size, N, is censored from above. The second type of censoring is symmetrical double censoring from both ends. Extensive coverage is given to the development of the estimator in general and the application to the logistic distribution. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1968
Accession Number
AD0685115

Entities

People

  • Joe W. Rodgers

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Computing-Related Activities
  • Data Science
  • Estimators
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Order Statistics
  • Standards
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.