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Measuring variability and association for categorical data
Fuzzy Sets and Systems ( IF 3.9 ) Pub Date : 2020-12-02 , DOI: 10.1016/j.fss.2020.11.018
Erindi Allaj

The quantification of the variability of the categorical data is an important topic not only in statistics, but also in many other disciplines. We suggest different variability measures to describe the variability of categorical data. In our approach, any set of categorical data for a determinate categorical variable is treated as a fuzzy set. Therefore, measuring the variability of categorical data is the same as measuring its fuzziness. Different measures of association between two categorical variables are also proposed. The measures can be easily applied to categoric random variables.



中文翻译:

测量分类数据的可变性和关联

分类数据可变性的量化不仅在统计学中而且在许多其他学科中都是一个重要主题。我们建议使用不同的可变性度量来描述分类数据的可变性。在我们的方法中,确定分类变量的任何分类数据集都被视为模糊集。因此,测量分类数据的可变性与测量其模糊性相同。还提出了两个分类变量之间的不同关联度量。这些度量可以很容易地应用于分类随机变量。

更新日期:2020-12-02
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