-
摘要: 建立了具有随机共同效应的多维信度模型, 得到了该模型中的非齐次与齐次信度估计, 并讨论了这些估计的性质. 类似于经典的信度理论, 具有共同效应的多维信度仍然可以表示为个体数据、聚合数据与聚合保费的加权和, 其权重被称为信度因子矩阵. 最后, 给出一个数值例子说明了多维信度估计的计算方法.Abstract: Multidimensional credibility models with a random common effect were built, and the inhomogeneous and homogeneous credibility estimators were derived. Further, some properties of these estimators were presented. Analogy to the classical credibility theory, the multidimensional credibility estimators with the common effect can also be expressed as the weighted sum of individual mean, collective mean and collective premium, where these weights are so-called credibility factor matrices. Finally, a numerical examplewas given to show the calculations of multidimensional credibility estimators.
点击查看大图
计量
- 文章访问数: 2394
- HTML全文浏览量: 18
- PDF下载量: 1429
- 被引次数: 0