A measure of discordance for partially ranked data when presence/absence is also meaningful

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Abstract

A dissimilarity measure for comparing objects described by ordinal variables with few states is derived from Kendall's tau and Goodman-Kruskal's gamma. The coefficient is calculated by examining all possible pairs of variables such that whenever ties appear, the presence/absence relationships become decisive. The measure is recommended for cases when many values in the data matrix are tied, and presence/absence relations are also of interest, eg, in phytosociological classifications.

Original languageEnglish
Pages (from-to)127-130
Number of pages4
JournalCoenoses
Volume12
Issue number2-3
Publication statusPublished - 1997

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ASJC Scopus subject areas

  • Ecology

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A measure of discordance for partially ranked data when presence/absence is also meaningful. / Podaní, J.

In: Coenoses, Vol. 12, No. 2-3, 1997, p. 127-130.

Research output: Contribution to journalArticle

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