Unbiasedness of Tests for Homogeneity of Variances.

Abstract

Consider the classical homogeneity of variances model. That is, suppose one has a one way layout, with independent random samples of equal sizes in each column. Assume the samples are from normal populations with unknown means and unknown variances. One wishes to test the hypothesis that all the variances are equal. R. V. Laue (1965) defined a two parameter family of statistics to test the homogeneity hypothesis. The family is defined as a function of the ratio of mean value functions of the sample variances. Included in the family are many of the well known tests for homogeneity. In this paper the authors investigate which of the tests is unbiased. Although the authors are unable to resolve the question for every test in the family, they can demostrate the unbiased character for several subfamilies, which include some of the better known tests. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 08, 1970
Accession Number
AD0716957

Entities

People

  • Arthur Cohen
  • William E. Strawderman

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Homogeneity
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Personality
  • Population (Mathematics)
  • Statistical Samples
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Educational Psychology
  • Organizational Psychology.