Two-sample tests for interval-valued data

被引：0

作者：

Choi, Hyejeong ^{[1
]}

Lim, Johan ^{[1
]}

Yu, Donghyeon ^{[2
]}

Kwak, Minjung ^{[3
]}

机构：

[1] Seoul Natl Univ, Dept Stat, Seoul, South Korea

[2] Inha Univ, Dept Stat, Incheon, South Korea

[3] Yeungnam Univ, Dept Stat, Gyongsan, South Korea

来源：

JOURNAL OF THE KOREAN STATISTICAL SOCIETY | 2021年 / 50卷 / 01期

基金：

新加坡国家研究基金会;

关键词：

Combined test; Hotelling's test; Interval-valued data; Two-sample test; Univariate marginalization;

D O I：

10.1007/s42952-020-00071-8

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：

Methods to compare two samples of interval-valued data are discussed. In the interval-valued data, observations have the form of intervals and are often read as two-dimensional vector of lower and upper bounds. We consider four methods, two of which are the applications of existing methods for bivariate data, and the other two are based on the marginalization (univariate distributional representation) of the interval-valued data. We conduct a comprehensive numerical study and analysis of real data to understand the performance of four methods.

引用

页码：233 / 271

页数：39

共 11 条

[1] Statistical applications of the multivariate skew normal distribution [J].