A class of efficient non-parametric K-sample tests for multivariate counting processes with frailties

NCU Institutional Repository > 理學院 > 數學研究所 > 期刊論文 > Item 987654321/27975

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/27975

题名:	A class of efficient non-parametric K-sample tests for multivariate counting processes with frailties
作者:	Chang,IS;Chen,LR;Hsiung,CA
贡献者:	數學研究所
关键词:	SURVIVAL-DATA;RANK-TESTS;MODELS
日期:	1998
上传时间:	2010-06-29 19:39:17 (UTC+8)
出版者:	中央大學
摘要:	A K-sample testing problem is studied for multivariate counting professes with time-dependent frailty. Asymptotic distributions and efficiency of a class of non-parametric test statistics are established for certain local alternatives. The concept of efficiency is to show that for every non-parametric test in this class, there is a parametric submodel for which the optimal test has the same asymptotic power as the non-parametric one. The theory is applied to analyse a diabetic retinopathy study data set. A simulation study is also presented to illustrate the theory.
關聯:	SCANDINAVIAN JOURNAL OF STATISTICS
显示于类别:	[數學研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	434	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing