Conference
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | JUNG, KWANGMIN | - |
| dc.date.accessioned | 2021-09-26T14:50:57Z | - |
| dc.date.available | 2021-09-26T14:50:57Z | - |
| dc.date.created | 2021-08-24 | - |
| dc.date.issued | 2021-08-03 | - |
| dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/107180 | - |
| dc.language | English | - |
| dc.publisher | American Risk and Insurance Association | - |
| dc.relation.isPartOf | The 2021 American Risk and Insurance Association Annual Meeting | - |
| dc.title | Unraveling heterogeneity in cyber risks using quantile regressions | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.identifier.bibliographicCitation | The 2021 American Risk and Insurance Association Annual Meeting | - |
| dc.citation.conferenceDate | 2021-08-02 | - |
| dc.citation.conferencePlace | US | - |
| dc.citation.conferencePlace | 온라인 | - |
| dc.citation.title | The 2021 American Risk and Insurance Association Annual Meeting | - |
| dc.contributor.affiliatedAuthor | JUNG, KWANGMIN | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
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