Asymptotic Theory for some Families of Two-Sample Nonparametric Statistics.

Abstract

Let X(1),...,X(m-1), and Y(1),...,Y(n) be independent random samples from two continuous distribution functions F and G. We wish to test H(0):F=G. Let X'(1)< or = ...< or =X'(m-1) be the ordered X-observations. Denote by S(k) the number of Y-observations falling between X'(k-1) and X'(k). Asymptotic distribution theory and limiting efficiencies are studied for best statistics of the form sum of h(s(k)) symmetrically in the sets S(k) and sum of h(s(k)) which are not symmetric in the sets S(k), where h(.) and the set h(k(.)) are real valued functions satisfying some simple regularity conditions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1976
Accession Number
ADA031960

Entities

People

  • J. S. Rao
  • Lars Holst

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Data Science
  • Distribution Functions
  • Distribution Theory
  • Efficiency
  • Information Science
  • Intervals
  • Mathematics
  • Probability
  • Random Variables
  • Real Numbers
  • Sequences
  • Statistical Algorithms
  • Statistics
  • Theorems
  • United States
  • Wisconsin

Fields of Study

  • Mathematics

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  • Regression Analysis.