RANK ASSOCIATION MEASURES FOR CONTINGENCY TABLES(Categorical Data Analysis)

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概要

• 論文の詳細を見る

• We propose the two association measures for the contingency tables using rank. We illustrate the comparison between the new measures and the traditional measures. Then the rank association measures make it easy to find the detailed differences between two r x s tables. Thus, the merit of using rank statistics is illustrated by the examples.

• 日本計算機統計学会の論文

著者

• Sugano Osamu

  Tsuyama Commercial High School

関連論文

• CONSTELLATION GRAPH MODEL FOR PREDICTION
• ON A SERIAL RANK TEST FOR RANDOMNESS AGAINST AUTOCORRELATION
• ON THE PERMUTATION DISTRIBUTION OF THE RANK PRODUCT-MOMENT STATISTIC
• GENERALIZED CONSTELLATION GRAPH TRANSFORMATION MODEL FOR PREDICTION
• RANK ASSOCIATION MEASURES FOR CONTINGENCY TABLES(Categorical Data Analysis)

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