复合负二项过程,Compound Non-Binominal Risk Model
1)Compound Non-Binominal Risk Model复合负二项过程
2)Compound binomial process复合二项过程
1.In this paper, using martingale condition, we induce Lundberg Fundamental equation when the accumulated claim process is modled as a compound poisson process or a compound binomial process and the interest wave is a poisson process with jump.本文从鞅条件出发 ,推导出了总理赔过程分别为复合 Poisson过程与复合二项过程 ,利率强度波动为带跳的 Poisson过程情形下的调节方程 ,并由此得到了一些有趣的结果。
2.The paper considers the negative risk model with the aggregate claims modeled as a compound binomial process.本文研究了总索赔服从复合二项过程的负风险模型。
英文短句/例句
1.THE NEGATIVE RISK MODEL WITH THE COMPOUND BINOMIAL PROCESS复合二项过程下的负风险模型(英文)
2.A simplified combination method for stationary binomial process of loads荷载平稳二项随机过程简化组合方法
3.On Some Measures of the Severity of Ruin in the Continuous-Time Compound Binomial Model;连续时间复合二项模型破产严重程度的度量
4.At fertilization, when the haploid gametes fuse, the diploid number of chromosomes is restored.受精过程中，单倍体配子融合，恢复了二倍体的染色体数目。
5.The Model of Carriers Transport and Recombination in OLED and a Study on Phosphorescent Dye Doped OLED;有机发光二极管载流子传输复合过程及磷光染料掺杂研究
6.Numerical Simulation of Solid/Liquid Phase Change Heat Transfer in Nanoporous Silica Ceramics纳米多孔二氧化硅复合有机相变材料吸热过程的数值模拟
7.Multi-Dimensional Numerical Simulation on Compound Combustion Process with Methanol/Dimethyl Ether Dual-Fuel甲醇/二甲醚双燃料复合燃烧过程的多维数值模拟
8.A Compound Negative Binomial Risk Model of Double Line Perturbed by Diffusion;带干扰的双险种复合负二项风险模型
9.Ruin Problem in Compound Binominal Risk Model广义复合二项风险模型下的破产问题
10.Ruin Probabilities in the Generalized Double Line Compound Binomial Risk Model广义二元复合二项风险模型的破产概率
11.The Gerber-Shui Penalty Function in the Negative Binomial (2) Risk Process;负二项(2)风险过程的Gerber-Shui罚金函数
12.To instruct thoroughly by repetition in a skill or procedure一项技术或过程经重复而完全学会.
13.The Sums and Applications of Poisson Processes and Compound Poisson Processes;Poisson过程、复合Poisson过程的叠加及其应用
14.A Progress of Ruin Probability in the Double Binomial Risk Model;保费收取次数为负二项随机序列的复合二项风险模型
15.Joint Distributions of Some Actuarial Random Vectors in the Continuous-Time Compound Binomial Model;连续时间复合二项模型多维精算量的联合分布
16.Numerical analysis of cladding process of Monel alloy/Cu explosive cladding barMonel合金/Cu爆炸复合棒复合过程数值模拟
17.Studies on Process Engineering of 1,3-Propanediol Synthesis by Bioconversion;生物法合成1，3-丙二醇的过程工程研究
18.Study of the Compound Markov Binomial Model and Its Extended Model;复合马尔可夫二项模型及其拓广模型的研究
相关短句/例句
Compound binomial process复合二项过程
1.In this paper, using martingale condition, we induce Lundberg Fundamental equation when the accumulated claim process is modled as a compound poisson process or a compound binomial process and the interest wave is a poisson process with jump.本文从鞅条件出发 ,推导出了总理赔过程分别为复合 Poisson过程与复合二项过程 ,利率强度波动为带跳的 Poisson过程情形下的调节方程 ,并由此得到了一些有趣的结果。
2.The paper considers the negative risk model with the aggregate claims modeled as a compound binomial process.本文研究了总索赔服从复合二项过程的负风险模型。
3)compound negative binomial复合负二项
1.Considering these limitations,this paper considers a delayed double type-insurancecompound negative binomial risk model and presents the common formula for the ruin probability.针对随着保险公司风险经营规模的不断扩大,单险种风险模型存在局限性的问题,研究了带延迟的双险种复合负二项风险模型,并给出了该模型的破产概率的一般表达式。
4)negative binomial (2) risk process负二项(2)风险过程
5)binomial processes二项过程
6)compound negative binomial risk model复合负二项风险模型
1.The ruin probability ofcompound negative binomial risk model is considered.考虑了复合负二项风险模型下的破产概率。
延伸阅读
负二项分布负二项分布negative binomial distribution概率为p的B即旧d石试验(及moulh幼aIs)概形中第;次“成功”以前失败次数的分布;在这种场合通常称之为1、，习l分布(Pascaldjs川bu石on)，它是r分布(步田u一曲tribution)在离散情形的类似.当:二l时，负二项分布重合于几何分布(罗。“r州c dis川bu-石on)负二项分布经常出现于与分布参数的随机化有关的问题中;例如，如果Y是一随机变量，以义为条件时有带随机参数几的R血期1分布( Poisson distri-bo石on)，而又又有密度为一二一x;一，。一，x>o，环>o r(拜)的r分布，那么y的边缘分布将是参数尹二召，p=:/(l+“)的负二项分布.负二项分布还可作为翻扣分布(P6lya distribution)的极限形式.有负二项分布，且分别以p与::，…，r。为参数的n个独立随机变量x;，…，x。之和，也是负二项分布的，且以p与;，+…十;，为参数.对于大的r及小的q，若:q一兄，负二项分布可用参数为又的Poisson分布逼近.负二项分布的许多性质都由它是广义化的PO讹。n分布这一事实所规定.【补注】亦见二项分布(b止lon五目此tribution).负二项分布「此，肠陀愉目丽闭业州h心佣;0，.”眼月研Oe6HHOM““研oe paCnPe琴理IUIel取非负整数k=0，1，一的随机变量X按公式 。。v_，_、_了r+k一1、_r，，_、* P{X=k}=l“t’1夕r(l一夕)盆(*) \k/‘定义的一种概率分布(probabU沁dis州b以jon)，其中O0是实值参数.负二项分布的生成函数(罗nemting丘川ction)与特征函数(chalacte山tic fLInc-tion)分别由下二式定义: P(z)=Pr(l一qz)一r，f(r)=夕r(l一叮e“)一r，其中q=l一p.数学期望与方差分别等于;q/p与r打声.负二项分布的分布函数在k=O，1，…处的值，依下列关系式由刀分布(忱扭一曲tri加tion)函数在点p处的值所确定:F(k)=p{X
