文章基本信息

标题：A New Nonparametric Test Using Ranked Set Data for a Two-sample Scale Problem
本地全文：下载
作者：{O}mer {O}zt{u}rk ; Jayant V. Deshpande ; Ohio State University, Columbus, USA 等
期刊名称：Sankhya. Series A, mathematical statistics and probability
印刷版ISSN：0976-836X
电子版ISSN：0976-8378
出版年度：2004
卷号：66
期号：03
出版社：Indian Statistical Institute
摘要：This paper proposes a distribution-free test for the two-sample scale problem in ranked set samples. The proposed test assumes that the distribution functions of the populations have a common quantile. It is shown that the new test is uniformly more efficient than its simple random sample analog. The paper also proposes a method to provide a consistent variance estimate of the test statistic under null hypothesis and imperfect judgment ranking so that test is asymptotically distribution free even under imperfect judgment ranking.
关键词：Pitman efficiency, imperfect ranking, star ordering, equality of variances.