分析过程中，运用了定量风险评估技术和多维随机变量联合概率随机模拟技术。
In the analysis, the "quantitative risk assessment" technology and "stochastic simulation technique for non-Guassian multivariate random variables with different correlations" technology are used.
利用离散型随机变量的联合分布矩阵，得到了离散型随机变量独立性的一种判别方法，并用实例给出了一定的应用。
Making use of the joint distribution matrix of discrete random variables, we get a kind of judgement method about the independence of discrete random variables, give its application by example.
通过求得两种随机变量的联合分布的表达式，证明了此类随机变量序列是强平稳的齐次马尔科夫链。
Then proves that this kind of random variables are the Markov chains with strong placidity by getting two kinds of expressions of the random variables combine distributing.
通过求得两种随机变量的联合分布的表达式，证明了此类随机变量序列是强平稳的齐次马尔科夫链。
Then proves that this kind of random variables are the Markov chains with strong placidity by getting two kinds of expressions of the random variables combine distributing.
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