文章基本信息

标题：Testing Exponentiality Against UBAC Using Kernel Methods
本地全文：下载
作者：M.M. Mohie El-Din ; S.E. Abu-Youssef ; M.KH. Hassan 等
期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2014
卷号：13
期号：2
页码：113-123
DOI：10.2991/jsta.2014.13.2.2
语种：English
出版社：Atlantis Press
摘要：In this paper, the problem of testing exponentiality against used better than aged in convex ordering classes of life distributions is investigated. For this property a nonparametric test is presented based on kernel method. The test is presented for complete and right censored data. Furthermore, Pitman's asymptotic relative efficiency (PARE) is discussed to assess the performance of the test with respect to other tests. Selected critical values are tabulated. Some numerical simulations on the power estimates are presented for proposed test. Finally, examples in medical sciences are used as practical applications for the proposed test.
关键词：UBAC Classes of Life Distributions; Kernel Method; Survival function; Right censored data; Kaplan-Meier estimator