文章基本信息

标题：ESTIMATION OF THE INVERSE WEIBULL PARAMETERS UNDER RANKED SET SAMPLING
本地全文：下载
作者：Samia A. Salem ; Mazen Nassar ; Hanem E. Hozaien 等
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2019
卷号：17
期号：4
页码：696-711
DOI：10.6339/JDS.201910_17(4).0004
出版社：Tingmao Publish Company
摘要：In this paper we use the maximum likelihood (ML) and the modified maximum likelihood (MML) methods to estimate the unknown parameters of the inverse Weibull (IW) distribution as well as the corresponding approximate confidence intervals. The estimates of the unknown parameters are obtained based on two sampling schemes, namely, simple random sampling (SRS) and ranked set sampling (RSS). Comparison between the different proposed estimators is made through simulation via their mean square errors (MSE), Pitman nearness probability (PN) and confidence length.
关键词：Inverse Weibull;maximum likelihood;modified maximum likelihood;ranked set sampling.