The Markov method can forecast the future state of things by studying the initial probability of differ states and transfer probability among the stages.
马氏链预测法是通过对事物不同状态的初始概率及状态之间的转移概率的研究，预测事物的未来状态。
The classification probability model of household can provide the element datum of traffic trip generation forecast which use cross classification method.
建立家庭分类概率模型，可以对使用交叉分类分析法的交通产生预测提供基础数据。
By using T106 model product and MOS forecast method, The Precipitation Probability and Relative Humidity forecasting equations about 15 stations in Gansu province are constructed.
利用T10 6模式产品，采用MOS预报方法，建立了甘肃省15个站降水概率和相对湿度的预报方程。
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