dependent stochastic variable meaning in Chinese

相依随机变量

Dependent stochastic variable
相依随机变量
This paper firstly applied sequential cluster method to set up the classification standard of precipitation state based on the fact that there are much uncertainty and imprecise characteristics in the precipitation course ; then this paper presented a method which is called markov chain with weights to predicted the future precipitation state by regarding the standardized self - coefficients as weights based on the special characteristics of precipitation being a dependent stochastic variable ; and applied this method to a real hydrological observation station with nearly 50 years precipitation information in shanxi province at last , an ideal result was obtained
摘要首先基于降水过程存在大量不确定性、不精确性的特点，应用有序聚类的方法建立降水丰枯状况的分级标准；然后针对降水量为相依随机变量的特点，采取以规范化的各阶自相关系数为权重，用加权的马尔可夫链模型来预测未来降水的丰枯变化状况；最后以山西省某水文站近50年的降水资料为实例对该方法进行了具体的应用，获得了较为满意的结果。