Chinese translation for "相依随机变量"

dependent stochastic variable

Related Translations:

相依并行:  dependent parallel

相依保持:  dependence preservation

部分相依:  partial dependency

相依边:  dependence edge

相依函数:  interdependent function

相依度:  contingency

相依档案:  dependency filedependent file

相依文法:  dependency grammar

相依控制:  dependent control

相依表:  contingency table

Example Sentences:

	1.	Dependent stochastic variable 相依随机变量
	2.	In this paper , some limit behaviours of two kinds of special dependent random variables are investigated . it divides two chapters 本文主要研究了两类特殊的相依随机变量的极限性质，其共分两章。
	3.	Hidden markov models have been widely used for modeling sequences of weakly dependent random variables , with applications in as such as speech processing , neurophysiology and biology 隐马尔可夫模型可应用于弱相依随机变量的建模上，也可用作研究发音过程、神经生理学与生物遗传等方面的工具。
	4.	This article gets some good results on the random fields of dependent random variables on the base of the studies of one dimension integer random variable serials with extending it to a tree 本文就是在一维整值随机变量序列研究的基础上，将之推广到树上，得到了一些关于相依随机变量随机场的结果。
	5.	In this paper , the notion of likelihood ratio , as a measure of deviation between a sequence of the arbitrary random variables and a sequence of independent random variables with different distributions , is introduced . a class of strong deviation theorems represented by inequalities are given on a subset of the sample space by constructing a negative supermartingale and using martingale convergence theorem 本文通过引进似然比作为相依随机变量序列相对于服从不同分布的独立随机变量序列的偏差的一种度量，并通过构造一个非负上鞅，利用鞅收敛定理给出了样本空间的一个子集上的一类用不等式表示的强偏差定理。
	6.	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。

Similar Words：

"相依驱动" Chinese translation, "相依时滞" Chinese translation, "相依事件" Chinese translation, "相依树" Chinese translation, "相依数据" Chinese translation, "相依随机事件" Chinese translation, "相依通道" Chinese translation, "相依统一文法" Chinese translation, "相依图" Chinese translation, "相依图形表示法" Chinese translation