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On the minimax variance estimators of scale in time to failure models

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dc.contributor.author이재원-
dc.contributor.authorGeorgy L. Shevlyakov-
dc.date.available2020-04-24T15:25:18Z-
dc.date.created2020-03-31-
dc.date.issued2002-
dc.identifier.issn1015-8634-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/3845-
dc.description.abstractA scale parameter is the principal parameterto be estimated, since it corresponds to oneof the main reliability characteristics, namely the average timeto failure. To provide robustness of scale estimators to grosserrors in the data, we apply the Huber minimax approach in time tofailure models of the statistical reliability theory. The minimaxvariance estimator of scale is obtained in the importantparticular case of the exponential distribution.-
dc.publisher대한수학회-
dc.titleOn the minimax variance estimators of scale in time to failure models-
dc.typeArticle-
dc.contributor.affiliatedAuthor이재원-
dc.identifier.bibliographicCitation대한수학회보, v.39, no.1, pp.23 - 31-
dc.citation.title대한수학회보-
dc.citation.volume39-
dc.citation.number1-
dc.citation.startPage23-
dc.citation.endPage31-
dc.type.rimsART-
dc.identifier.kciidART000917466-
dc.description.journalClass2-
dc.subject.keywordAuthorminimax approach-
dc.subject.keywordAuthorrobustness-
dc.subject.keywordAuthorscale parameter-
dc.subject.keywordAuthorreliability-
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