ON THE BIVARIATE MOMENTS OF ORDER STATISTICS FROM A LOGISTIC DISTRIBUTION AND APPLICATIONS.

Abstract

Let x(1),x(2),...,x(n) be an ordered sample of n independent and identically distributed random variables from a Logistic Distribution whose cumulative distribution function is 1/(1+exp(-x)). In this paper several results are obtained for a simple Beta distribution whose density function is x to the (l-1) power (1-x) to the (m-1) power, 0 < or = x < or = 1. Using these results the exact value of the covariance of the lth and mth order statistics is obtained in terms of the diagamma and trigamma functions. Recurrence relations of the covariance of (l+1)th, and (m+1)th order statistics from a sample of size (n+1) in terms of the lower order covariances and moments are obtained. These relations are useful for the formal solutions of various problems of determination of best linear combinations of order statistics for various estimation problems concerning parameters of a logistic distribution. Table of covariances of all pairs of order statistics for n < or = 10 is given. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1965
Accession Number
AD0619501

Entities

People

  • B. K. Shah

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Covariance
  • Data Science
  • Distribution Functions
  • Information Science
  • Interdisciplinary Science
  • Order Statistics
  • Random Variables
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Analytical Mechanics
  • Statistical inference.