ASYMPTOTIC EFFICIENCY OF A CLASS OF C-SAMPLE TESTS,

Abstract

A c-sample problem is considered by examining the 2-sample problem and generalizing the results obtained by other authors. The resulting L-test for testing the equality of c continuous probaility distributions on the basis of c independent random samples is proposed. Under suitable regularity conditions and certain assumptions concerning the distribution function, the limiting distribution of L is derived. A number of well known tests are included; e.g. the KruskalWallis H-test, Terpestra's K-sample test, Fisher-Yates-Terry-Hoeffding normal score test, and Van der Waerden's 2-sample test. The asymptotic relative efficiencies in Pitman's sense are obtained and shown to be independent of the number of samples. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1963
Accession Number
AD0428118

Entities

People

  • Madan Lal Puri

Organizations

  • New York University

Tags

DTIC Thesaurus Topics

  • California
  • Contracts
  • Cooperation
  • Data Science
  • Distribution Functions
  • Efficiency
  • Information Science
  • Mathematics
  • Statistical Samples

Fields of Study

  • Mathematics

Readers

  • Statistical inference.