参数估计

We obtain one method to derive point estimates of parameters of the discrete Weibull distribution and also in this paper,we study the accuracy of the estimates by using a large number of Monte-Carlo simulations.

给出求离散Weibull分布产品的参数点估计方法，通过大量Monte-Carlo模拟考察了估计的精度。

In this study, the problem to estimate physical parameter distribution, load property and load position were investigated.

论文研究了如何由测量数据估计振动系统的物理参数分布、负载特性与位置估计问题，对于声学设计与检测有一定应用价值。

First, we obtain the empirical Bayesian estimator of the scale parameter for the double exponential distribution based on LINEX loss function and the convergence rate of the estimate.

首先利用非对称的LINEX损失函数对双指数分布族刻度参数进行了经验贝叶斯估计，并讨论了该估计的性质，给出了收敛速度。

Then, we use the empirical data to estimate the parameter. Next, we use the estimated parameter values to calculate the elasticity of substitution and flexibility and come to some preliminary conclusions.

然后，利用所得的经验数据估计出要求得的参数值，并用估计出的参数值计算替代弹性值和弹性值，分析这些数值并得出结论。

The key problem of using ESPRIT algorithm to estimate signal parameter is the estimation of signal subspace.

运用ESPRIT算法进行信号参数的估计，关键是对信号子空间的估计。

Chapter Four deals with the linear admissible minimax estimators of linear estimable function of parameter matrix in the given linear estimator for a general growth curve model.

第四章讨论了一般增长曲线模型参数阵的线性可估函数在给定的线性估计类中的容许Minimax估计，并给出了具体的表达式。

When it comes to the non-parameter density estimation technique for characterizing the region feature distribution, it also takes the collective distribution into consideration because of inaccurate segmentation.

此外，在应用非参数密度估计技术来构造语义类的特征分布时，针对区域分割的不精确性，该文还考虑了区域特征空间的总体分布因素，进而对区域的后验分布进行更可靠地估计。

In Section 3,we give the simple narration aboutthe Bayesian analysis and Bayesian inference of the general linear model,and consider two specifica-tion of the general linear model.Based on these we give the point estimation,region estimation(includ-ing the high posterior density estimation)to the parameters and the predictive analysis of the generallinear model and so on.And in the final of this chapter we introduce some relative references about theBayesian analysis of Linear Model.

第三节就布罗米林对一般线性模型所作的贝叶斯分析与推断给出简单阐述，考虑了一般线性模型的两种设定，基于此给出一般线性模型参数的点估计、区域估计以及预测等贝叶斯分析和推断，并且介绍有关线性模型的贝叶斯分析的主要参考文献。

This paper researches the estimation variance of the maximum likelihood estimator of the parameter with p norm distribution.

研究了具有p范分布的参数的极大似然估计的估计方差。

In present, the discussions of EB estimation are almost all about to exponential distribution family and truncated distribution family, but linear exponential distribution is not exponential family and truncated family, thus, Empirical Bayes estimation for parameter of linear exponential distribution are studied in chapter 4 and chapter 7 that is new aspect.

当前对经验Bayes估计的讨论，大多是对指数分布族以及截断分布族的，线性指数分布即不属于指数分布族也不同于截断型分布族，因而在论文的第四章和第七章研究线性指数分布参数的EB估计是具有一定的新颖性的。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新