马尔可夫预测法是应用概率论中马尔可夫链的理论和方法来研究分析有关经济数据的变化规律，并由此预测未来变化趋势的一种方法。
Markov prediction is a method of applying Markov chains' theory and method in probability theory to studying and analyzing laws of change of economic data and hence predicting the future tendency.
采用齐次马尔可夫链分析法确定教学效果的好坏。
The paper appraises the effect of teaching using Homogeneous Markov chains analysis method.
并以简例说明了用有限的马尔可夫参数实现状态模型和差分模型的统一方法。
Simple examples for explaining the unifying realization methods of state space and difference equation model using finite markov parameters are also presented in this paper.
应用马尔科夫状态图法，对一个实际的硬件式可修容错计算机系统进行了可靠性评估。
In this paper, the reliability of a fault-tolerance computer system is evaluated by Markov status graph.
文章利用“灰色——马尔可夫链”进行年径流量的预测，用季节指数法进行年径流量的时段分配（月分配）；
This paper uses the Grey-Markov Chain for predicting the annual flow and the season index method for monthly distribution of the annual flow.
本文根据马尔可夫分析法的基本原理，建立起电动自行车的方式分担预测模型。
According to the basic principle of Markov Analysis, forecasting model of e-bike mode share is established in this paper.
本文重点讨论了广义矩估计法、马尔可夫链蒙特卡罗方法和有效矩估计法这三种各具特点的随机波动模型的参数估计方法。
In this article, three estimation methods, GMM, MCMC and EMM are studied. GMM is one of the earliest methods used in SV model and its character is simple;
本文重点讨论了广义矩估计法、马尔可夫链蒙特卡罗方法和有效矩估计法这三种各具特点的随机波动模型的参数估计方法。
In this article, three estimation methods, GMM, MCMC and EMM are studied. GMM is one of the earliest methods used in SV model and its character is simple;
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