| Project/Area Number |
16500174
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Kobe University |
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Principal Investigator |
TAKAHASHI Rinya Kobe University, Faculty of Maritime Sciences, Professor, 海事科学部, 教授 (80030047)
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| Co-Investigator(Kenkyū-buntansha) |
SIBUYA Masaaki Takachiho University, Faculty of Commercial Sciences, Professor, 商学部, 教授 (20146723)
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| Project Period (FY) |
2004 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥1,900,000 (Direct Cost: ¥1,900,000)
Fiscal Year 2005: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2004: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | extreme value theory / multivariate extreme value distribution / statistical model / data analysis / dependence measure / 従属性 / 上位r個 / copula / 乱数 / copular / 変量間の独立性 / 変量間の従属性 / 極値データ / return level |
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| Research Abstract |
1.In multivariate extreme value data analysis, the methods of using the upper r largest data and the power transformation of the marginal data were studied. We showed that these methods were efficient for estimating the marginal distributions of the multivariate extreme value distributions.
2.Dependence among components of the multivariate extreme value distributions was characterized by its spectrum measure or by its exponent measure. A dependence order based on stable tail dependence function was introduced. The implication of the order in the risk theory was discussed.
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