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• 调整系数

### 例句与用法

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1. In the study of risk theory , a class of continuous time risk process with deficit - time geometry distribution of claim inter - occurrence time was made into a strong piecewise - deterministic markov process with the theory of piecewise - deterministic markov process and by introducing a supplementary variable . martingale approach is one of the most powerful methods of pdmp . the programming process is getting the ruin probability from the martingale construction . we use the idea of change of measure in the programming process and find the result and the function of adjustment coefficient
本文应用逐段决定马尔可夫过程理论及补充变量技巧，使索赔到达间隔服从亏时几何分布的连续时间风险过程成为齐次强马尔可夫过程，然后利用pdmp中的鞅方法(用广义生成算子得出鞅)推导了鞅的形式，作为该风险模型索赔额分布为一般分布下的破产概率的一般表达式，其中用到了测度变换的思想。
2. This risk process is made into a homogeneous piecewise deterministic markov process by introducing supplementary components from forward markovization technique . then a martingale is found by the martingale approach of piecewise deterministic markov process ( pdmp ) . the general expression and the lundberg bound of the ruin probability are derived subsequently . the idea of change of the probability measure and the adjustment coefficient are used to find the lundberg bound
首先利用向前马尔可夫技巧使此风险过程成为齐次马尔可夫过程，然后利用逐段决定马尔可夫过程( pdmp )中的鞅方法，得到本文风险模型中鞅的形式，继而求得索赔额分布为一般离散分布的破产概率的一般表达式，并得到破产概率的lundberg界，这里用到了测度变换的思想，从中可以看出调节系数的重要作用。
3. In consideration of multitype risk in the operation of insurance companies , this paper studies some important variables in insurance business and then comes to the conclusion that the surplus process is related to safe load and individual claim amount distribution when the preliminary reserve is zero while the surplus process is related to adjustment coefficient when the preliminary reserve is beyond zero
摘要考虑到保险公司同时经营多种不同质风险的情况，本文从保险业务中需要研究的几个重要变量出发，研究了初始准备金为零时，盈余过程与安全负荷及个体索赔额分布有关；当初始准备金大于零时，盈余过程与调节系数相关等情形。
4. Ambagaspitiya ( 1998 ) considered a general method of constructing a vector p ( p 2 ) dependent claim numbers from a vector of independent random variables , and derived formulas to compute the correlated aggregate claim distribution for corresponding common shock model with p dependent classes of business . cossotte and marceau ( 2000 ) used a discrete - time approach to study how the common shodcaffects the finite - time ruin probabilities and the adjustment coefficient
Ambagaspitiya ( 1998 )通过向量的方法解决了一类索赔次数相关的风险模型，推导出了最大损失量的表达式； cossetteandmarceau ( 2000 )考虑了离散时间下相关是如何影响有限时间的破产概率与调整系数的问题； yuen ， k