参数估计

This method combines the information of output tracking error with the parameter estimate error in constructing the adaptation law, which gives a better result in parameter estimation than that from the traditional ARC.

该方法同时采用了输出误差与参数估计误差的相关信息构造自适应律，具有比常规ARC更好的参数估计效果。

We definite and study the very extensive nonlinear random effect models, i. e. exponential family nonlinear models with random effect, then we employ the Laplace methods to deal with these models. Based on this method, the fixed effect parameter estimates and Gauss-Newton formula are obtained. Some asymptotic properties of estimate are proved under some mild assumptions.

首次定义并研究了一类非常广泛的非线性随机效应模型-指数族非线性随机效应模型，并应用Laplace展开方法，给出该模型中固定效应参数的估计以及Gauss Netown选代算法，同时讨论了参数估计的渐近性质。

Highly efficient and stable method of parameter estimation is built. The fitting degree of extensive extreme value distribution and the extremeⅠ,Ⅱ,Ⅲtype distribution was compared, among which the optimal distribution type are researched.

针对极大似然法参数估计的失效问题，将逐步迭代法推广应用于广义极值分布，建立了参数估计的高效稳定算法，并比较广义极值分布与极值Ⅰ、Ⅱ、Ⅲ型分布的拟合度，研究平均风速的最优分布类型。

First, mathematical foundation of synchronization, i.e. the theory of parameter estimation is introduced. Then, DA/DD or NDA timing synchronization methods based on the ML estimation of timing parameter are presented. They are all widely applied in actual digital communication systems. Interpolation theory in digital signal processing has application in timing synchronization, which makes the sampling clock independent of the timing control so that timing adjustment is realized completely through digital disposal. The issue of interpolation in timing synchronization is discussed.

首先，介绍了定时同步实现的数学基础，即信号参数估计理论；从定时参数的最大似然估计出发，介绍了基于数据辅助的定时同步方法和基于非数据辅助的定时同步方法，他们在实际的数字通信系统中均有广泛应用；论文探讨了数字信号处理中插值理论在定时同步中的应用，它使得接收端的采样时钟独立于定时控制，定时调整完全通过数字处理方法得以实现。

At first, we list some preparation knowledge which is a necessary tool, such as matrix analysis, the theory of orthogonal matrix and project matrix, the least squares estimator.

文章首先列举了一些需要用到的相关预备知识，主要有矩阵分析，正交阵和投影阵，参数估计的最小二乘法等，这些研究线性模型的参数估计问题中必不可少的工具。

The simulation results also find that the Quasi-Aitken weighted least squares estimator has a smaller asymptotic variance than least squares estimator.

研究结果显示机率加权最小平方法与Quasi-Aitken机率加权最小平方法的回归参数估计式皆具有不偏性，其中Quasi-Aitken机率加权最小平方法的回归参数估计式的变异最小。

Because the MCMC method is efficient in dealing with problems of high dimension, likelihood function and posterior distribution. In this paper, we will estimate parameters in models by MCMC method.

由于MCMC方法在解决SV模型中的高维分布参数估计以及求解似然函数和后验分布都更加有效，因此本文利用MCMC方法估计模型中的参数。

A maximum likelihood method for the parameter estimation of the delay time model based on observed data is established in this paper.

介绍了基于客观数据的延迟时间模型参数极大似然估计方法，提出了应用优化理论中的单纯形法求解似然函数的算法，为延迟时间模型的参数估计问题提供了可行的解决方法。

Thirdly, in order to improve the estimation precision of the magnetic dipole parameters, the method that combined Neural Networks with Maximum Likelihood Estimation method was purposed in this paper.

进一步，为了提高磁偶极子参数的估计精度，本文提出了将极大似然参数估计与神经网络相结合的方法。

In ChapterⅠ, we first define the connotation of bank efficiency, then emphasize the two major measuring methods—Data Envelopment Approach of nonparametric estimation and Stochastic Frontier Analysis of parametric estimation,which are used extensively in this field , and the ways of defining the put-in and put- out indexes for the efficiency measurement models.

正文的第一部分首先对银行效率的内涵进行了界定，然后重点介绍了国内外学术界应用较为广泛的效率测度理论与方法(参数估计的DEA方法与非参数估计的SFA方法)和效率测度模型中投入与产出变量的界定方法。

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。