Homogeneity test based on ranked set samples

被引：0

作者：

Rahmani, Hamid ^{[1
]}

Razmkhah, Mostafa ^{[1
]}

机构：

[1] Ferdowsi Univ Mashhad, Dept Stat, POB 1159, Mashhad 91775, Razavi Khorasan, Iran

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2020年 / 49卷 / 19期

关键词：

Asymptotic distribution; Bootstrap test; Imperfect rankings; Kernel density estimation; Location family; Mixture model; LIKELIHOOD RATIO TEST; MOMENT-BASED TEST; RANKING;

D O I：

10.1080/03610926.2019.1609034

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：

The homogeneity hypothesis is investigated in a location family of distributions. A moment-based test is introduced based on data collected from a ranked set sampling scheme. The asymptotic distribution of the proposed test statistic is determined and the performance of the test is studied via simulation. Furthermore, for small sample sizes, the bootstrap procedure is used to distinguish the homogeneity of data. An illustrative example is also presented to explain the proposed procedures in this paper.

引用

页码：4771 / 4786

页数：16

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