Asymptotic Normality and Efficiency of A Class of Test Statistics.

Abstract

A new class of two-sample test statistics is defined. Sufficient conditions for its asymptotic normality under a broad class of alternatives are obtained. Asymptotic efficiencies relative to the parametric competitors for shift in location and change of scale are also obtained. These results are extended to the situations where the sample sizes are random and the observations come in pairs and each pair has the same but unknown bivariate distribution. As a particular case, the asymptotic normality of the Spearman's rank correlation coefficient is established in Section 5 under all alternatives. In a straight forward manner the two-sample results are extended to the c-sample case and the asymptotic efficiency of the test criterion, in order to test for the equality of the underlying distributions is evaluated when the alternatives involve shifts in location parameters or changes in scale parameters.

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1974
Accession Number
ADA010191

Entities

People

  • Z. Govindarajulu

Organizations

  • University of Kentucky

Tags

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Coefficients
  • Computing-Related Activities
  • Data Science
  • Efficiency
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Normality
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.