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The study of modelling problems of GLM for outstanding claims reserving based on prediction error of reserve

机译:基于准备金预测误差的未决赔款准备金GLM建模问题研究

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摘要

Stochastic methods for outstanding claims reserving based on generalised linear model (GLM) framework are the hotspot of actuarial theory. Based on the GLM framework, the mean square error of prediction of reserves could be calculated. Focused on GLM for outstanding claims reserving, this paper analysed two problems. One is the distribution's assumption chosen of the response variable; the other is the over-parameterisation in models. First, a weighted function was introduced to judge the effect of the model fitted under different distributions. Second, referring to Cape-Cod method, a three-parameter GLM was built by introducing more claims information to reduce the number of parameters in the predictor structure. At last, examples were given to prove the effectiveness of these methods.
机译:基于广义线性模型(GLM)框架的未决赔款准备金的随机方法是精算理论的热点。基于GLM框架,可以计算储量预测的均方误差。本文着重于GLM来处理未决索赔,分析了两个问题。一个是响应变量选择的分布假设;另一个是模型中的过度参数化。首先,引入加权函数来判断在不同分布下拟合模型的效果。其次,参考Cape-Cod方法,通过引入更多的索赔信息以减少预测变量结构中的参数数量来构建三参数GLM。最后,通过实例证明了这些方法的有效性。

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