The model of Equipment Support Socialization Human Resource Forecast by grey forecasting method and Markov probability matrix forecasting are set up.
通过运用灰色预测方法和马尔可夫概率矩阵预测对装备保障社会化的人力资源需求量建立了研究模型。
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。
应用推荐