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Application of Automobile Insurance System Based on Markov Chain

机译:基于马尔可夫链的汽车保险系统在Markov链中的应用

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摘要

Using transition probability matrix and limiting probability of Markov chain, we obtain the average annual premium paid by the policyholder of the Bonus Malus system, and prove that no claims is good and typically results in a decreased premium, while claims are bad and typically result in a higher premium.
机译:利用过渡概率矩阵和马尔可夫链的限制概率,我们获得了奖金恶魔制度保单持有人支付的年平均溢价,并证明没有索赔是好的,通常会导致溢价减少,而索赔是坏的,通常会导致更高的溢价。

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