- Category:
- Other systems
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- File Size:
- 144kb
- Update:
- 2018-10-24
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- 鳗鱼曼玉
Description: Copula is originally meant to connect the edge distributions of multiple random variables together to form a joint distribution. The correlation structure between variables is completely determined by Copula, and the statistical characteristics of each variable are determined by its edge distribution. Copula is a popular tool for multivariate modeling, which can provide more accurate information than the commonly used correlations for describing intervariate relationships.
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| Filename | Size | Date |
|---|
| 第6章 Copula理论及应用实例\example06_01.m | 8161 | 2018-03-28
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| 第6章 Copula理论及应用实例\hushi.xls | 365056 | 2018-03-28
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| 第6章 Copula理论及应用实例\shenshi.xls | 365056 | 2018-03-28
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| 第6章 Copula理论及应用实例 | 0 | 2018-03-28 |
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