A class of nonparametric K-sample tests for semi-Markov counting processes

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27969

Title:	A class of nonparametric K-sample tests for semi-Markov counting processes
Authors:	Chang,IS;Chuang,YC;Hsiung,CA
Contributors:	數學研究所
Date:	1999
Issue Date:	2010-06-29 19:39:09 (UTC+8)
Publisher:	中央大學
Abstract:	A K-sample testing problem is studied for multivariate semi-Markov counting processes. Asymptotic distributions and efficiency of a class of nonparametric test statistics are established for certain local alternatives. The concept of the asymptotic efficiency stales that for every nonparametric test in this class, there is a parametric submodel for which the optimal test has the same asymptotic power as the nonparametric test. The theory is illustrated by a simulation study and by analyzing the multivariate failure time data of Thompson et al. (1978).
Relation:	STATISTICA SINICA
Appears in Collections:	[Graduate Institute of Mathematics] journal & Dissertation

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