Exact Power of Some Two-Sample and C-Sample Non-Parametric Statistical Procedures

Abstract

Expressions for the exact power of the two-sample Mann-Whitney Wilcoxon U test procedure against alternatives of exponential and rectangular populations have been derived. Several examples for total sample sizes of 11 and 15 have been compared with Mood's median test. Mood's test is more powerful than the U test in all instances in which the number of observations from the null population exceeds the number from the alternative population. The converse is true when the number of observations from the null population is less than the number from the alternative. Expressions for the asymptotic efficiency of the Mann-Whitney-Wilcoxon U test relative to Mood's and Massey's tests and the likelihood ratio test have been derived for exponential populations. The asymptotic efficiency of the U test relative to the likelihood ratio test is zero. Mood's and Massey's test procedures for two samples have been extended to the case of discriminating among c populations on the basis of c ordered samples. Expressions for the exact power have been derived for Mood's test with exponential and rectangular populations and for Massey's test with exponential populations. With exponential translation alternatives, the tests are biased. The exact null distributions of goodness of fit tests for one-way and two-way contingency tables indicate that even for samples as small as ten, the exact distribution is closely approximated by a chi-square distribution with the appropriate degrees of freedom.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1962
Accession Number
ADA403875

Entities

People

  • George E. Haynam

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Arithmetic
  • Binomials
  • Classification
  • Computations
  • Data Science
  • Distribution Functions
  • Equations
  • Hypotheses
  • Information Science
  • Normal Distribution
  • Precision
  • Probability
  • Random Variables
  • Standards
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Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.