CONDITIONAL RANK-ORDER TESTS FOR EXPERIMENTAL DESIGNS.

Abstract

The present work investigates the asymptotic efficiency of certain rank-order tests for testing the absence of main-effects in linear models under additivity. A distinct feature of these tests, unlike some previously available rank-tests of Friedman, Durbin, etc., is that they are based on a joint-ranking of the totality of observations after 'alignment', and yet can be applied conditionally (given epsilon = the ordered set of ranks for each block) at exact significance level for all sample sizes.

Document Details

Document Type
Technical Report
Publication Date
Feb 20, 1968
Accession Number
AD0666100

Entities

People

  • K. L. Mehra

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Computing-Related Activities
  • Data Acquisition
  • Data Science
  • Efficiency
  • Experimental Design
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Observation

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.