MEASURE OF DEPARTURE FROM SYMMETRIC ASSOCIATION IN SQUARE CONTINGENCY TABLES WITH ORDERED CATEGORIES

Abstract

A measure is proposed to represent the degree of departure from symmetric association in square contingency tables with ordered categories. The measure is expressed by using the minimum Euclidean distance based on the local odds-ratios. It would be useful when one wants to use a single summary measure to measure distance of the local odds-ratios from symmetry of association.

Journal

Journal of the Japanese Society of Computational Statistics   [List of Volumes]

Journal of the Japanese Society of Computational Statistics 5(1), 43-49, 1992-12  [Table of Contents]

Japanese Society of Computational Statistics

Preview

Preview

Codes

  • NII Article ID (NAID) :
    110001235589
  • NII NACSIS-CAT ID (NCID) :
    AA10823693
  • Text Lang :
    ENG
  • ISSN :
    09152350
  • Databases :
    NII-ELS 

Export