参数估计

However,for the large dimensional data.the sample covariance matrix is not a good estimator of the population counterpart.Many methods of parametric estimations and tests for multivariate statistical problems can not be simply used to deal with large dimensional data.

但是由于经典的大样本理论都是假定维数很小是固定的，故而经典极限理论并不适宜解决大维随机数据问题，很多多元问题的模型参数估计、模型检验的统计量已有的结果对大维海量数据并不能平凡推广。

Parameter estimation of radar target scatterer plays an important role in the process of target characteristics analysis and target recognition.

摘要雷达目标散射中心的参数估计对目标特性分析和目标识别有重要意义。

Statistic; the display and measure of section array; the display and analysis of time array; the estimation of parameters; hypothesis testing; simple regression analysis and multi-regression analysis; and word processing the results of analysis.

包括：SPSS和EXCEL的概述、统计数据的输入、统计数据的整理、横断面数列的展示和测量、时间数列的展示和解析、参数估计、假设检验、简单回归分析和多元回归分析、统计分析结果的文字处理和文字编辑。

The main content of this course includes collecting and sorting statistical data, static data comparison and analysis; descriptive and inference statistics, time series analysis , statistical index, probability and distribution, sampling, parameter estimation, hypothesis testing;simple , multiple regression and correlation analysis .

重要内容有：统计数据的收集和整理、数据的静态比较分析、统计描述与统计推断、时间数列分析、统计指数、概率与概率分布、抽样分布、；参数估计、假设检验、简单回归和相关的统计推断、多元回归和多重相关分析。

Main contributions are local optimal decoding algorithm of Hidden Markov model that was applied into off-line handwriting character recognition and parameter estimations. An abridged algorithm and parameter estimation of Hidden Markov models applied in character recognition were presented under simple hypothesis.

文中主要给出隐马氏模型在文字识别中局部最优的解码算法；在简单假设的前提下给出隐马氏模型在文字识别应用中的一种简化算法和相应的参数估计。

As to the difficulty of simultaneous estimation for frequency factors (k_0) and activation energies as well as the difficulty of many parameters to be estimated at the same time, the activation energies of the same kind catalyst and empirical activation energies are adopted, hence the number of parameters is reduced to half.

所采用的简化处理方法大大降低了参数估计难度，但引入了误差并将累积到频率因子上。

This dissertation is devoted to the study of noise suppression, sinusoid signal parameters estimation and detection.

本文致力于研究噪声抵消、正弦信号检测及参数估计等问题。

In the first chapter, we give a brief account of the time series background and introducespecially on stationary time series in the parameter estimation.

主要内容如下：第一章，主要介绍时间序列的研究背景及平稳时间序列在参数估计上已有的研究成果。

It as follows:1.The issue on how to recognize the model, estimate parameter, test applicability of the model about stationary time series are discussed.

完成的主要内容如下： 1、详细论述了平稳时间序列从模型的初步识别、参数估计、模型的适用性检验、以及到预报的全过程。

In this dissertation , the methods of prediction and parameters\' estimation based on stationary multivariate autoregressive models AR(p are studied systematically. Some properties of these methods are formulized.In the first part, it introduce some basal conceptions about multidimensional stationary time series, contained the estimation and property of mean vector and auto-covariance function. Then the stable condition of multidimensional AR models are discussed.

本文主要研究了多维平稳序列自回归模型AR的参数估计及其相关的统计性质，具体内容如下：第一部分，介绍了多维平稳时间序列及其均值向量和协方差阵函数的概念，并引入了多维AR模型及其数字特征，在此基础上给出了模型的平稳性条件。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。