Power of goodness-of-fit tests and some competitive proposals based on progressively type-II censored data from a location-scale distribution

被引：2
作者：
Nadeb, Hossein [1 ]
Estabraqi, Javad [1 ]
Torabi, Hamzeh [1 ]
机构：
[1] Yazd Univ, Dept Stat, Yazd, Iran
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2024年 / 53卷 / 07期
关键词：
Goodness-of-fit test; Location-scale family; Monte Carlo simulation; Progressive type-II censoring; STATISTICS;
D O I：
10.1080/03610918.2022.2105362
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：
In this paper, we review some existing methods for testing goodness-of-fit based on progressively type-II censored samples in the location-scale family of distributions. Also, some similar procedures and new modifications are proposed. Using Monte Carlo simulation, the powers of the reviewed and proposed tests are compared for the normal and Gumbel distributions against several alternatives. Then, we present some results based on the simulation studies. Finally, an application to two datasets is presented for numerical illustration.
引用
收藏
页码：3461 / 3488
页数：28
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