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1)  bidimensional discrete-time risk model
二维离散风险模型
1.
Including constant interest effect, a bidimensional discrete-time risk model is concerned.
考虑一个带常利率的二维离散风险模型
2)  discrete risk model
离散风险模型
1.
By using of recursive relation,we further study some problem in discrete risk model,such as the ultimate probability of ruin describing the safety state of insurance company,the immediately surplus before ruin and the deficit at ruin,which depict the degree of severity of ruin.
研究离散风险模型中描述保险公司安全程度的终极破产概率、刻画保险公司破产严重程度的破产前瞬时盈余和破产时的赤字等问题。
2.
In this paper,the authors consider the discrete risk model,use the conclusion of [1] and [2] about classical risk model,get the formula of the joint distributions of the maximum and the minimum of the surplus before ruin and last recovered from negative,and extend the condition to the process of premium income depending on insurance policy share.
本文研究了一类离散风险模型,利用[1]和[2]关于古典风险模型的结论,得到了该风险过程在破产前和最后一次返回零点前公司盈余的极大值和极小值的联合分布,推广到了保费收入过程依赖于保单计数过程的情况。
3.
In the paper,we discuss a new discrete risk model perturbed by diffusion The premium rate in this risk model is a random variable.
建立了一类带干扰离散风险模型,并且保费收取率为随机变量。
3)  bivariate risk model
二维风险模型
1.
We consider a bivariate risk model with positive and negative risk sums.
本文讨论了含正、负风险的和二维风险模型的破产概率问题。
4)  discrete time insurance risk model
离散时间保险风险模型
1.
Ruin problems for the discrete time insurance risk model with changeable rates;
具有变利率的离散时间保险风险模型的破产问题
2.
The paper discusses ruin problems deeply under the discrete time insurance risk model in which the rates of interest are assumed to have a dependent autoregressive structure.
进一步研究离散时间保险风险模型,在利率具有一阶自回归结构的情况下,得到了描述破产严重程度的破产前一时刻的盈余分布与破产持续时间的分布的递推公式。
5)  two-dimensional separation model
二维离散模型
1.
A two-dimensional separation model of the thermal stress for large steam turbine rotor is prosed in this paper.
提出一种计算大型汽轮机转子热应力的二维离散模型。
6)  compound Binomial risk model in fully discrete setting
完全离散复合二项风险模型
补充资料:二维模型
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性质:对研究对象建立数学模型时,如果过程为定态的,各变量将不随时间而变。此时,如果设备是轴对称的,并考虑径向的变量变化,则变量的变化是二维的。在此基础上建立的数学模型称为二维模型。二维模型较一维模型更完备,但同时必将引入了较多的模型参数,并增加了计算的复杂性。因此采用二维模型的必要性使用前必须充分考虑

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