贝斯方法将可信度保险费应用于公共保险

Rain Fernando Bangun, I. N. Widana, Desak Putu Eka Nilakusmawati
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引用次数: 0

摘要

保险费的确定是非常重要的,必须仔细计算,以便有经验的损失。本研究的目的是找出实证贝叶斯可信度理论模型1的应用,并估计一般保险的可信度保费。一种有助于克服这些问题的方法,即经验贝叶斯可信度理论模型1,对保险公司allianz、Csob、Generali、Koop、Unisqa和Wusten的可信度保费可信度(欧元)的估计结果分别为:46.774811、7.801307、10.368991、58.812250、6.703035和5.091605。这些结果表明,平均理赔额大于信用保费,从而使保险公司可以为未来预留保费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PENERAPAN METODE BAYES DALAM MENGESTIMASI PREMI KREDIBILITAS PADA ASURANSI UMUM
Determination of insurance premiums is very important the calculation must be done carefully so that there is experience losses. The purpose of this research is to find out the application of empirical Bayes credibility theory Model 1 and estimate of the credibility premium on general insurance. A method that can help in overcoming these problems, that is empirical Bayes credibility theory Model 1, results of the estimated credibility premium credibility (in Euros) for insurance companies Alianz, Csob, Generali, Koop, Unisqa, and Wusten respectively as follows: 46.774811, 7.801307, 10.368991, 58.812250, 6.703035, and 5.091605.  These results, the average claim is greater than the credibility premium, so that insurance companies can reserve premiums for the future.
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