分布参数

Parameters estimation of the distributed parameter system and digital image restoration are representative Mathematical and Physics inverse problem, and they are explored in the first two chapters of this paper.

分布参数系统的参数辨识和数字图像恢复是典型的数学物理反问题，本文前两章分别对这两方面进行了探索研究。

For first-order linear DPS with spatial-varying coefficient matrices a method is presented to approximate the system piecewisely by N partial differential equations with constant coefficient matrices.

它包括两大部分，一是关于分布参数系统的频率域数学描述即传递函数这一基本问题的应用研究，二是关于一类用多滞后型传递函数表示的分布系统的控制设计问题。

Ding J%Song D%Yang R Further research on application of probability weighted moments in estimating the parameters of the Pearson type three distribution Water Resources Research , 1989,null

马秀峰 计算水文频率参数的权函数法水文， 1984，(3)刘光文皮尔逊Ⅲ型分布参数估计水文， 1990，4

Fifthly, we research the problem about the stochastic fluctuate of the contents of organic compounds and microelements in the land under the assumption continuous-time model. The first, a dynamic model about fertility of plowland is presented using stochastic diffusion processes and distributed parameter system.

在分析了农业耕地中有机物含量及微量元素含量的随机变化过程的基础上，利用扩散随机过程理论及分布参数系统建立分析模型描述耕地肥力的分布状况；研究了以维护耕地最优质量状态作为目标值的最优控制问题。

The type and parameters of the prior data distribution should be known in Bayesian method.

在贝叶斯处理中，必须确定先验分布的类型和分布参数。

Results Under the condition of the conjugate prior distribution, the prior parameters computed by three methods were similar.

结果在共轭先验分布的条件下，先验矩、分位数、众数与分位数三种方法确定的先验分布参数结果一致。

Second, we obtain the bayes estimators of the loss function and risk function based on the conjugate prior distribution for ...

其次在共轭先验分布下给出了Weibull分布参数估计的损失函数和风险函数的贝叶斯估计，并讨论了它们的保守性和合理性。

In the case of 〓unknown,this dissertation derived the exact distribution of related statistics,and thenproposed the multivariate covariance control charts:the A chart and the 〓 chart based onthe sample generalized variance and the maximum and the minimum eigenvalues.

当分布参数〓未知时，本文通过推导有关统计量的精确分布，建立了基于样本广义方差和最大、最小特征根的多元协方差控制图—A图和〓图，为实际应用奠定了基础。

Chapter 2 mainly discusses the basic acknowledge of Sobolev space and Banach spacedifferential, and also discusses basic theory of parameter identification and optimal control ofparabolic distributed parameter system.

第二章主要介绍了Sobolev空间和Banach空间微分学的基础知识，还介绍了抛物型分布参数系统参数辨识与最优控制的基本理论。

The modelling methods of the system which can be described by the time series are studied, includes:(1) Generalized B-P neural network modelling method of stationary process.

它有别于以往描述系统的参数模型，它是用网络和与网络结构相对应的分布参数来整体描述一个系统的外观特征。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。