共查询到20条相似文献,搜索用时 78 毫秒
1.
考虑一种相依索赔风险模型,其中每次索赔发生时根据索赔额的大小可随机产生一延迟的副索赔.采用L ap lace变换方法,给出了索赔额服从轻尾分布时的最终破产概率,并研究了重尾分布时最终破产概率的极限上下界. 相似文献
2.
重尾索赔下的一类相依风险模型的若干问题 总被引:2,自引:2,他引:0
本文研究了重尾索赔下的一类相依风险模型,得到了破产概率的尾等价式及索赔盈余过程大偏差的渐近关系式.在该模型中,一索赔到达过程是Poisson过程,另一索赔到达过程为其p-稀疏过程. 相似文献
3.
一类索赔相依二元风险模型的破产概率问题研究 总被引:1,自引:0,他引:1
考虑一种相依索赔风险模型,模型中假设每次主索赔可随机产生一延迟的副索赔,采用Laplacc变换方法,给出了索赔额服从轻尾分布时的最终破产概率,并研究了重尾分布时最终破产概率的渐进式. 相似文献
4.
考虑了重尾分布的多险种复合二项风险模型,在索赔额分布服从一致变化尾时,得到了其总索赔过程和总索赔盈利过程的大偏差,推广了经典复合二项风险模型的结论. 相似文献
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《高校应用数学学报(A辑)》2020,(1)
考虑一类复合相依更新风险模型,一次事故引发多次索赔.假设索赔次数与索赔时刻相依,同一事故引起的索赔额是宽上限相依(widely upper orthant dependent)且服从重尾分布.得到该风险模型损失过程的精细大偏差和有限时破产概率的渐近估计. 相似文献
7.
考虑保费随机收取,且索赔过程是保费收取的稀疏过程的二维风险模型,在索赔额的分布是一致变化尾分布并且copula相依时,得到其总索赔和总盈余过程随机和的精细大偏差,推广了相关文献的结论. 相似文献
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本文研究一类具有相依索赔及重尾索赔噪声项的离散风险模型有限时间破产概率.在该模型中,索赔额服从具有独立同分布噪声项的单边线性过程;由保险公司的风险投资和无风险投资导致的随机折现因子与单边线性过程的噪声项相独立;保险公司的保费率是恒定的常数.当单边线性过程的噪声项服从重尾分布时,本文得到该离散风险模型有限时间破产概率的渐近估计. 相似文献
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关于伽马分布及相关分布性质的一点研究 总被引:1,自引:0,他引:1
主要研究伽马分布的性质,并通过对伽马分布可加性的研究.得到由指数分布通过伽马分布构造卡方分布和均匀分布的方法,通过本文可以加深对伽马分布和其它常见连续性分布关系的认识. 相似文献
12.
[1]中给出了样本容量n已知的(n,r)定时截尾不完全样本的分析方法。在[2]中我们讨论了n未知的(n,r)定时截尾不完全样本并较好地处理了晚截尾的接近完全样本的分析。本文中我们相应于截尾样本,引入截尾分布,通过用截尾样本拟合截尾分布而得到寿命T的整体分布。此方法无论对n已知还是n未知,对早截尾还是晚截尾的(n,r)定时截尾样本都适用。并且此方法还可推广到对其它形式的不完全样本的处理。 相似文献
13.
Bobecka and Wesolowski (Studia Math. 152:147–160, [2002]) have shown that, in the Olkin and Rubin characterization of the Wishart distribution (see Casalis and Letac in Ann. Stat.
24:763–786, [1996]), when we use the division algorithm defined by the quadratic representation and replace the property of invariance by the
existence of twice differentiable densities, we still have a characterization of the Wishart distribution. In the present
work, we show that when we use the division algorithm defined by the Cholesky decomposition, we get a characterization of
the Riesz distribution. 相似文献
14.
Saralees Nadarajah 《Acta Appl Math》2008,103(2):131-140
Sums of random variables arise naturally in wireless communications and related areas. Here, we provide a review of the known
results on sums of exponential, gamma, lognormal, Rayleigh and Weibull random variables. A discussion is provided of two applications.
We expect that this review could serve as a useful reference and help to advance further research in this area. 相似文献
15.
The Dirichlet distribution that we are concerned with in this paper is very special, in which all parameters are different from each other. We prove that the asymptotic distribution of this kind of Dirichlet distributions is a normal distribution by using the central limit theorem and Slutsky theorem. 相似文献
16.
Except for certain parameter values, a closed form formula for the mode of the generalized hyperbolic (GH) distribution is not available. In this paper, we exploit results from the literature on modified Bessel functions and their ratios to obtain simple but tight two-sided inequalities for the mode of the GH distribution for general parameter values. As a special case, we deduce tight two-sided inequalities for the mode of the variance-gamma (VG) distribution, and through a similar approach we also obtain tight two-sided inequalities for the mode of the McKay Type I distribution. The analogous problem for the median is more challenging, but we conjecture some monotonicity results for the median of the VG and McKay Type I distributions, from we which we conjecture some tight two-sided inequalities for their medians. Numerical experiments support these conjectures and also lead us to a conjectured tight lower bound for the median of the GH distribution. 相似文献
17.
In this paper, we introduce a new shared frailty model called the compound negative binomial shared frailty model with three different baseline distributions namely, Weibull, generalized exponential and exponential power distribution. To estimate the parameters involved in these models we adopt Markov Chain Monte Carlo (MCMC) approach. Also we apply these three models to a real life bivariate survival data set of McGrilchrist and Aisbett (1991) related to kidney infection and suggest a better model for the data. 相似文献
18.
学者往往用单一的分布模拟和拟合杂波,如正态分布、瑞利分布和威布尔分布等。然而在实际中,雷达杂波由多种类型的杂波组成,单一分布通常不能精确刻画雷达杂波规律,因此,应用混合分布模型对雷达杂波数据建模更准确。本文考虑用正态分布和瑞利分布的混合分布拟合杂波,并应用矩估计方法和基于EM算法的极大似然估计方法估计模型参数,最后,应用最大后验概率分类准则验证2种估计方法的分类准确率。通过数据模拟,得出极大似然估计的效果和分类准确率都要优于矩估计的估计效果和分类准确率。 相似文献
19.
Let L and S denote the classes of distributions with long tails and subexponential tails respectively. Let OS denote the class of distributions with O-subexponential tails, which means the distributions with the tails having the same order as the tails of their 2-fold convolutions. In this paper, we first construct a family of distributions without finite means in L∩OS?S. Next some distributions in L∩OS?S, which possess finite means or even finite higher moments, are also constructed. In connection with this, we prove that the class OS is closed under minimization of random variables. However, it is not closed under maximization of random variables. 相似文献