Efficient Sequential Estimation in a Compound Poisson Process

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dc.contributor.author배도선ko
dc.contributor.author김명수ko
dc.contributor.author장중순ko
dc.date.accessioned2013-02-24T09:02:06Z-
dc.date.available2013-02-24T09:02:06Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1986-
dc.identifier.citationJournal of the Korean statistical society, v.15, no.2, pp.87 - 96-
dc.identifier.issn1226-3192-
dc.identifier.urihttp://hdl.handle.net/10203/55916-
dc.description.abstractSequential estimation of parameters in a compound Poisson process whose jump sizes are one-parameter exponential class random variables is discussed. Cramer-Rao type information inequality is used as an efficiency cirterion. Unbiased estimators for certain parametric functions whose variance attain the lower bound are all characterized with the corresponding sampling plans.-
dc.languageEnglish-
dc.publisher한국통계학회-
dc.titleEfficient Sequential Estimation in a Compound Poisson Process-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume15-
dc.citation.issue2-
dc.citation.beginningpage87-
dc.citation.endingpage96-
dc.citation.publicationnameJournal of the Korean statistical society-
dc.contributor.nonIdAuthor김명수-
dc.contributor.nonIdAuthor장중순-
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