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dc.contributor.authorJUNG, KWANGMIN-
dc.date.accessioned2020-12-02T09:58:46Z-
dc.date.available2020-12-02T09:58:46Z-
dc.date.created2020-12-02-
dc.date.issued2019-08-07-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/104489-
dc.languageEnglish-
dc.publisherAmerican Risk and Insurance Association-
dc.relation.isPartOfAmerican Risk and Insurance Association Annual Meeting-
dc.relation.isPartOf2019 American Risk and Insurance Association Annual Meeting-
dc.titleProbable maximum cyber loss: Empirical estimation and reinsurance design with public intervention-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationAmerican Risk and Insurance Association Annual Meeting-
dc.citation.conferenceDate2019-08-04-
dc.citation.conferencePlaceUS-
dc.citation.titleAmerican Risk and Insurance Association Annual Meeting-
dc.contributor.affiliatedAuthorJUNG, KWANGMIN-
dc.description.journalClass1-
dc.description.journalClass1-

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