Entropy and divergence measures for mixed variables

被引：4

作者：

Zografos, Konstantinos ^{[1
]}

机构：

[1] Univ Ioannina, Dept Math, GR-45110 Ioannina, Greece

来源：

STATISTICAL MODELS AND METHODS FOR BIOMEDICAL AND TECHNICAL SYSTEMS | 2008年

关键词：

location model; mixed variables; entropy; divergence;

D O I：

10.1007/978-0-8176-4619-6_36

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The roles of entropies and divergences in statistics and related fields are well known as indices of the diversity or variability and as pseudo-distances between statistical populations. The definition of these measures is extended in the case of mixed continuous and categorical variables, a case which is common in practice in the fields of medicine, behavioural sciences, and so on. The role of these indices in testing statistical hypothesis and as descriptive measures in the location model is clarified.

引用

页码：519 / 534

页数：16

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