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On the consistency of a simulation procedure and the construction of a non-parametric test for interval-censored data

In this paper, we prove that the simulation method for
interval-censored data proposed by Fay (1999) is consistent in the
sense that if we select a sample, then the estimate obtained from
Turnbulls (1974) EM algorithm will converge to the
true parameter when the sample size tends to infinity. We also
propose a non-parametric rank test for interval-censored data to
determine whether two populations come from the same distribution.
Simulation result shows that the proposed
test statistics performs pretty satisfactory.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0614101-131452
Date14 June 2001
CreatorsSen, Ching-Fu
ContributorsFu-Chuen Chang, Mei-Hui Guo, Chin-San Lee
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614101-131452
Rightswithheld, Copyright information available at source archive

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