A MULTIVARIATE NOTION OF ASSOCIATION FOR GENERAL RANDOM VARIABLES

Abstract

In a previous paper (A multivariate notion of association, with a reliability application) random variables T1,T2,...,Tn were defined to be associated if each pair of non-decreasing functions F(T1,T2,...,Tn), G(T1,T2,... ,Tn) have a non-negative covariance. The properties of this definition were studied in the case that T1,T2,...,Tn are finitely discrete, and a sample application to reliability theory was discussed. In the present paper several equivalent definitions of the same notion of association for unrestricted T1,T2, ...,Tn are treated. The properties previously obtained, i.e. that association is preserved under the operations of extracting subsets, pooling independent sets, and forming sets of non-decreasing functions, are shown to hold in general. In addition, association is shown to be preserved under limits in distribution. Some additional applications of association are discussed, e.g. previously published results of A. W. Kimball and H. Robbins are obtained.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1966
Accession Number
AD0643976

Entities

People

  • D. W. Walkup
  • Frank Proschan
  • J. D. Esary

Organizations

  • Boeing

Tags

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Data Science
  • Distribution Functions
  • Information Science
  • Mathematics
  • Order Statistics
  • Probability
  • Random Variables
  • Scientific Research
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.