Analysis Of Several Categorical Data Using Measure of Proportional Reduction In Variation

Kouji Yamamoto, Kouji Tahata, Nobuko Miyamoto, Sadao Tomizawa

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

For a two-way contingency table with nominal row and column variables, the measures which describe the proportional reduction in variation (PRV) from the marginal distribution of one variable to the conditional distribution given the other variable are proposed by Goodman and Kruskal (1954), Theil (1970), and Freeman (1987, p. 101). Tomizawa, Seo and Ebi (1997), and Miyamoto, Usui and Tomizawa (2005) proposed the generalization of those measures. Tomizawa, Miyamoto and Yajima (2002), and Yamamoto and Tomizawa (2009) proposed the PRV measures for a nominal-ordinal contingency table and for an ordinal-ordinal contingency table, respectively. The present paper (1) reviews these PRY measures and (2) analyzes and compares between several categorical data using these PRY measures.

Original languageEnglish
Title of host publicationQuantum Bio-informatics IV
Subtitle of host publicationFrom Quantum Information to Bio-informatics
PublisherWorld Scientific Publishing Co.
Pages339-354
Number of pages16
ISBN (Electronic)9789814343763
ISBN (Print)9789814343756
DOIs
Publication statusPublished - 1 Jan 2011

Keywords

  • Concentration coefficient
  • Measure
  • Proportional reduction in variation
  • Square contingency table
  • Total uncertainty coefficient

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