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} } |- ! Tschuprow's ''T'' |} In statistics, Tschuprow's ''T'' is a measure of association between two nominal variables, giving a value between 0 and 1 (inclusive). It is closely related to Cramér's V, coinciding with it for square contingency tables. It was published by Alexander Tschuprow (alternative spelling: Chuprov) in 1939.〔Tschuprow, A. A. (1939) ''Principles of the Mathematical Theory of Correlation''; translated by M. Kantorowitsch. W. Hodge & Co.〕 ==Definition== For an ''r'' × ''c'' contingency table with ''r'' rows and ''c'' columns, let be the proportion of the population in cell and let : and Then the mean square contingency is given as : and Tschuprow's ''T'' as : 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Tschuprow's T」の詳細全文を読む スポンサード リンク
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