Generally Usable Sequential Randomization Tests for Two-Way ANOVA That Emphasize the More Recent Data.

Abstract

The data are independent observations from two or more sources. Under the null hypothesis, observations from the same source have the same (arbitrary) distribution. Observations are obtained in successive groups each containing a set of specified size from each source (with a stated maximum total available from each source). An overall test is a succession of subtests with significance when at least one subtest is significant. All observations are re-used until a specified number of groups occur. Then, independently for each source, a stated number of the observations from a source are chosen by randomization (all possibilities equally likely). Data for re-use are now the group of observations chosen by the randomizations and newly obtained groups. Additional groups are taken until the number for re-use reaches a given value. Then, independently for each source, a stated number of the observations in these groups from a source are chosen by randomization. The resulting group is the data for re-use at this stage. Additional new groups are taken, etc. Exact null probabilities are obtainable, through use of appropriate randomization models and special kinds of subtest statistics. The overall test ends when a significant subtest occurs (thus saving time and expense). Some possible uses in quality control are outlined. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1970
Accession Number
AD0717931

Entities

People

  • John E. Walsh

Organizations

  • Southern Methodist University

Tags

DTIC Thesaurus Topics

  • Data Science
  • Information Science
  • Mathematics
  • Observation
  • Probability
  • Quality Control
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.