On measure of proportional reduction in error for nominal-ordinal contingency tables

被引：0
|
作者：
Yamamoto, Kouji [1 ]
Nozaki, Yuri [1 ]
Tomizawa, Sadao [2 ]
机构：
[1] Osaka Univ Hosp, Ctr Clin Invest & Res, 2-15,Yamadaoka, Suita, Osaka 5650871, Japan
[2] Tokyo Univ Sci, Fac Sci & Technol, Dept Informat Sci, Noda, Chiba 2788510, Japan
来源：
JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS | 2011年 / 14卷 / 04期
关键词：
Complete prediction; independence; ordinal response variable;
D O I：
10.1080/09720510.2011.10701584
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
For two-way contingency tables with a nominal explanatory and an ordinal response variables, the present paper proposes a proportional reduction in error measure, which describes the relative decrease in the probability of making an error in predicting the value of the response variable when the value of the explanatory variable is known, as opposed to when it is not known. The measure depends on the order of listing the response categories. Examples are shown.
引用
收藏
页码：767 / 773
页数：7
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