利用网微分方法将随机选择的概念，推广到有限马氏链随机转移概率随机调和平均的情形。

The notion of random selection is extended to random harmonious average of random transition probability for nonehomgenous Markov chains by using a new method of differentiation on net.

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本文针对一类具有随机状态转移概率的异步大系统，研究了该类异步大系统的随机收敛性及随机稳定性条件。

In this paper we study the stochastic stability and convergence conditions of a class of asynchronous large_scale systems with random state transition.

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本文应用马尔科夫随机模型估计从正常到EB病毒抗体阳性，再到鼻咽癌的转移概率。

Markov stochastic chain model was used to analyze the transition rates from normal to positive anti EBV and from positive anti EBV to NPC.

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