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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Goodman and Kruskal's lambda ： ウィキペディア英語版 Goodman and Kruskal's lambda In probability theory and statistics, Goodman & Kruskal's lambda ($\backslash lambda$) is a measure of proportional reduction in error in cross tabulation analysis. For any sample with a nominal independent variable and dependent variable (or ones that can be treated nominally), it indicates the extent to which the modal categories and frequencies for each value of the independent variable differ from the overall modal category and frequency, i.e. for all values of the independent variable together. $\backslash lambda$ can be calculated with the equation :$\backslash lambda\; =\; \backslash frac.$ where :$\backslash varepsilon\_1$ is the overall non-modal frequency, and :$\backslash varepsilon\_2$ is the sum of the non-modal frequencies for each value of the independent variable. Values for lambda range from zero (no association between independent and dependent variables) to one (perfect association). ==Weaknesses== Although Goodman and Kruskal's lambda is used to calculate association between variables, it yields a value of 0 (no association) whenever two variables are in accord—that is, when the modal category is the same for all values of the independent variable, even if the modal frequencies or percentages vary. Consider the table below, which describes a fictitious sample of 350 individuals, categorized by relationship status and blood pressure. For this sample, :$\backslash lambda\; =\; \backslash frac\; =\; 0$ even though the data demonstrate a pronounced relationship between the independent and dependent variables. 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「Goodman and Kruskal's lambda」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.