Bühlmann's Credibility Model with Claims of Negative Binomial and 2-Poisson Distribution

Ikhsan Maulidi, V. Apriliani
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Abstract

One of the premium determination techniques is to use credibility theory. In this study, a credibility premium determination model was derived with the best accuracy approach in the form of Bühlmann’s credibility premium. The claim data is assumed to have a Negative Binomial and 2-Poisson distribution. Bühlmann's credibility premium formula is given explicitly for these two data distributions. The obtained model is also applied to the correct data following these distributions. From the simulation results, it is obtained that the premium values are very close in value so that both models can be applied to the data and have a high level of credibility because they have a high credibility factor value.
具有负二项分布和2-泊松分布的b hlmann可信度模型
其中一种确定溢价的方法是运用可信度理论。在本研究中,以b hlmann可信度溢价的形式,导出了一个具有最佳精度的可信度溢价确定模型。假设索赔数据具有负二项分布和2-泊松分布。明确给出了这两种数据分布的b hlmann可信度溢价公式。得到的模型也适用于这些分布的正确数据。仿真结果表明,溢价值的数值非常接近,两种模型均具有较高的可信度因子值,可以应用于数据,具有较高的可信度。
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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