On the Optimality of Some Multiple Comparison Procedures.

Abstract

Optimality criteria formulated in terms of the power functions of the individual tests are given for problems where several hypotheses are tested simultaneously. Subject to the constraint that the expected number of false rejections is less than a given constant gamma when all null hypotheses are true, tests are found which maximize the minimum average power and the minimum power of the individual tests over certain alternatives. In the common situations in the analysis of variance this leads to application of multiple t-tests. Recommendations for choosing the value of gamma are given by relating gamma to the probability of no false rejections if all hypotheses are true. Based upon the optimality of the tests, a similar optimality property of joint confidence sets is also derived. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1970
Accession Number
AD0717337

Entities

People

  • Emil Spjotvoll

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Computing-Related Activities
  • Data Science
  • Hypotheses
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Probability
  • Rejection

Fields of Study

  • Mathematics

Readers

  • Operations Research
  • Organizational Psychology.
  • Sensor Fusion and Tracking Systems.