Distribution spread and location metrics using entropic separation

被引：1

作者：

Bowden, Roger J. ^{[1
]}

机构：

[1] Kiwicap Res Ltd, 11 Waiteata Rd, Wellington 6012, New Zealand

来源：

STATISTICS & PROBABILITY LETTERS | 2017年 / 124卷

关键词：

Dispersion; Divergence; Binary entropic concentration; Partition entropy; INFORMATION;

D O I：

10.1016/j.spl.2017.01.011

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：

Distribution spread as a separation width is formalised using partition entropy, resulting in a metric for dispersion with associated end points. The binary framework resolves interpretive and other limitations of the traditional differential entropy metric, and is robust to distributional shape.(C) 2017 Elsevier B.V. All rights reserved.

引用

页码：148 / 153

页数：6

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