Analysis of Possibility of Application of Higher-Order Hierarchical Credibility Estimators in Automobile Insurance

Marcin Topolewski
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Abstract

The work concerns the applicability of credibility estimators of order higher than one, called hierarchical estimators, to posterior estimates of claim ratio in motor insurance systems based on the history of the insured. The first part presents the idea of the credibility estimation method. In the second part the linear credibility estimator is discussed. The third part introduces appropriate for risk models in the form of claims distributions, which are used to derive the corresponding hierarchical estimates of the first order. The fourth section expands the discussion of the hierarchical estimators of the order two. In the empirical fifth part previously presented solutions are used to estimate the loss ratio for the sample insurance portfolio, results are discussed and conclusions concerning the possibility of application of second order hierarchical estimators into motor insurance are formulated.
高阶层次可信度估计在汽车保险中应用的可能性分析
这项工作涉及的可信度估计的适用性高于一,称为层次估计,在汽车保险系统索赔比率的后验估计基于被保险人的历史。第一部分介绍了可信性估计方法的思想。第二部分讨论了线性可信性估计。第三部分以索赔分布的形式介绍了适当的风险模型,该模型用于推导相应的一阶层次估计。第四部分扩展了二阶估计的层次估计的讨论。在实证的第五部分中,我们使用了之前提出的方法来估计样本保险组合的损失率,并对结果进行了讨论,得出了二阶层次估计器应用于汽车保险的可能性的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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