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QUANTILE ESTIMATION OF TREATMENT EFFECT FOR THE 2-SAMPLE PROBLEM WITH RIGHT CENSORED-DATA

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dc.contributor.authorPARK, Hyo-il-
dc.contributor.authorPark, Sang-Gue-
dc.date.available2020-05-19T09:25:13Z-
dc.date.issued1995-08-
dc.identifier.issn0167-7152-
dc.identifier.issn1879-2103-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/39723-
dc.description.abstractEstimating the treatment effect in the two-sample problem when some of the data are right censored is an important problem. Akritas (1986) and Meng et al. (1991) proposed estimators of the treatment effect under the location shift model using the fact that the median of the distribution of the difference of two independent random variables is the location shift. An estimator based on the quantile function is proposed and consistency and asymptotic normality of it are also presented.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER SCIENCE BV-
dc.titleQUANTILE ESTIMATION OF TREATMENT EFFECT FOR THE 2-SAMPLE PROBLEM WITH RIGHT CENSORED-DATA-
dc.typeArticle-
dc.identifier.doi10.1016/0167-7152(94)00158-5-
dc.identifier.bibliographicCitationSTATISTICS & PROBABILITY LETTERS, v.24, no.2, pp 139 - 145-
dc.description.isOpenAccessN-
dc.identifier.wosidA1995RQ62900007-
dc.identifier.scopusid2-s2.0-12344313172-
dc.citation.endPage145-
dc.citation.number2-
dc.citation.startPage139-
dc.citation.titleSTATISTICS & PROBABILITY LETTERS-
dc.citation.volume24-
dc.type.docTypeArticle-
dc.publisher.location네델란드-
dc.subject.keywordAuthorTREATMENT EFFECT-
dc.subject.keywordAuthorKAPLAN-MEIER ESTIMATOR-
dc.subject.keywordAuthorQUANTILE FUNCTION-
dc.subject.keywordAuthorLOCATION SHIFT MODEL-
dc.subject.keywordAuthorTRUNCATED MEAN DIFFERENCE-
dc.subject.keywordPlusMODELS-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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경영경제대학 (응용통계학과)
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