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1·An integral inference method for nonstationary stochastic process is established.

建立一种非平稳随机过程整体推断方法。

2·The resistance of deteriorating structures is a non-stationary stochastic process.

对退化结构的时变可靠度，抗力必须表为随机过程。

3·One solution to this problem is to require that the stochastic process be separable.

一个解决这个问题的办法是要求随机过程是分开的。

4·The stochastic process method is applied to forecast shanghai stock composite index trend.

摘要应用随机过程方法预测了上证综合指数的走势。

5·The cutting process is the complex and stochastic process, there are many craft parameters.

切削过程为复杂的随机过程，工艺参数较多。

6·It is so far the most clearly understanding stochastic process the nature of which is most colorful.

它又是迄今了解最清楚，性质最丰富多彩的随机过程之一。

7·Using stochastic process theory, some theoretical results of the model agree well with Monte Carlo simulation results.

本模型中关于岛分布的一些理论结果与蒙特卡罗模拟的结果完全吻合。

8·In this paper, we prove the ergodic theorem of a stationary set valued stochastic process by the representation theorem.

本文作为平稳集值随机过程的表示定理的应用，证明了平稳集值随机过程的遍历性定理。

9·A special double type-insurance risk model whose premium is a stochastic process with interest force was further studied.

研究了在保费收取随机的情况下，含利息力因素的特殊双险种风险模型破产问题。

10·This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR (1) model in time series.

本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。