1.
Another Choice to the Distribution of Aggregate Claims-compound Poisson-inverse Gaussian Distribution;
总理赔量分布的另一种选择:复合Poisson-逆高斯分布(英文)
2.
DEFICIT DISTRIBUTION IN DOUBLE COMPOUND POISSON MODEL UNDER HEAVYTAILED CLAIMS;

重尾索赔下双复合Poisson模型的赤字分布
3.
Bivariate Mixed Poisson Distribution and Application in Insurance;

二元混合Poisson分布及其在保险中的应用
4.
Conditions on the Stochastic Increase of Mixed Poisson Distribution

混合Poisson分布随机递增的条件
5.
Multinomial distribution and multi-Poisson distribution;

多项分布与多元Poisson分布
6.
Integrate-and-Fire Model with Inputs on Inverse Gaussian Distribution;

逆高斯分布输入下的Integrate-and-Fire模型
7.
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
8.
Besides, the comparison of Gaussian distribution and aggregation number distribution of toroids has been processed.
此外,还以高斯分布对复曲面的聚合数分布进行了模拟与比较.
9.
Poisson distributon and negative binomial distribution fitting for data of cytokinesis-block micronucleus test
Poisson及负二项分布对微核试验数据拟合效果
10.
Recursive Formula of the Nth Moment of Binomial,Poisson Distribution and Geometric Distribution
关于二项分布、Poisson分布和几何分布的高阶矩的递推公式
11.
Several kind of estimates of Poisson distribution s parameter;

Poisson分布参数的几种估计
12.
Reinsurance for the Proportional Contract in Two-Dimentional Compound Poisson Model;

二维复合Poisson风险模型的再保险分配比例问题
13.
Analysis of Structural Reliability for Gamma-filtered Poisson Process Model

伽马-滤过复合Poisson过程模型结构可靠性分析
14.
APPLICATION OF THE INVERSE GAUSSIAN DISTRIBUTION IN CATCHMENT HYDROLOGICAL MODELLING

逆高斯分布在流域水文模拟中应用初探
15.
The Shape Parameter Estimator of Inverse Gauss Distribution under the q-Symmetric Entropy Loss;
q-对称熵损失下逆高斯分布形状参数的估计
16.
The Project s Investment Risk Return Theory Model Based on Inverse Gauss Distribution;

基于逆高斯分布的项目投资风险收益理论模型
17.
The Bayes Estimation of Inverse Gaussian Distribution Parameter Reciprocal under Entropy Loss Function
熵损失下逆高斯分布参数倒数的Bayes估计
18.
The Bayes Estimation of Inverse Gaussian Distribution Parameter Reciprocal under Linex Loss Function
Linex损失下逆高斯分布参数倒数的Bayes估计