查询词典 regression estimator

In the fifth chapter, we propose the conditional generalized ridge-type estimator of regression coefficient in restricted linear regression model, and prove that it is superior to the restricted best linear unbiased estimator in terms of mean squares error and mean squares error matrix, we also give the choice of parameters matrix K.

第五章给出了约束线性回归模型中回归系数的条件广义岭估计，讨论了它的优良性，证明了它在均方误差及均方误差矩阵下都优于约束最小二乘估计，并给出了参数矩阵K的选择。

In this paper we discuss the influence problem of Ridge Estimator in general linear regression model, study the influence analysis on Ridge Estimator with covariance matrix disturbance and data deletion, define Cook distance of Rideg Estimator based on biased estimator.

讨论一般线性回归模型岭估计的影响+分析问题，研究了协方差阵扰动和数据删除对岭估计的影响，给出了岭估计基于有偏估计的Cook距离。

For Panel data model, this thesis studies the comparisons about two stage esti-mator, least square estimator, Within estimator and Between es-timator of regression parameter under generalized mean square error criterion and Pitman criterion.

在广义谱分解估计的基础上，应用目前备受关注的广义p值方法给出了混合模型方差分量的精确检验，通过模拟研究表明此检验方法能够很好的兼顾控制犯第一类错误的概率和功效。

The simulation results show that probability weighted least squares estimator and Quasi-Aitken weighted least squares estimator are unbiased estimators of regression coefficients.

研究方法系采用Monte Carlo模拟方式模拟比较最小平方法、分层加权最小平方法、机率加权最小平方法及Quasi-Aitken机率加权最小平方法在分层不等机率抽样下的表现。

Generalized linear models, which can model a large variety of data, have a wide area of application. The class of GLMs includes, as special cases, linear regression, analysis-of-variance models, log-linear models for the analysis of contingency tables, logistic models for binary data in the form of proportions and many others. Usually, the parameters in the generalized linear models are estimated by the method of maximum likelihood . But, in the literature, the nonrobustness of the maximum likelihood estimator forβhas been studied extensively. The quasi-likelihood estimator of the parameter of the generalized linear model shares the same non-robustness properties.

广义线性模型，可用于对多种类型的数据进行建模，是应用非常广泛的模型，线性回归模型、方差分析模型、用于列联表分析的对数线性模型和逻辑斯谛模型等都是广义线性模型的特例，通常，我们用极大似然的方法估计广义线性模型中的参数，但是，在文献中，对参数β的极大似然估计的非稳健性已经有了广泛的研究，广义线性模型的拟似然估计也显示了非稳健性。

The minimax estimator is compared to classical regression. Sufficient conditions of this estimator have also been derived.

得出了在各准则下相对原估计更优的充分条件，说明带随机附加信息后的估计相对于原估计的优良性。

A simulation study is conducted to compare the performance of the naive estimator and the regression calibration estimator.

本文也提供回归口径校正法来估计回归参数，及提供此校正估计法的大样本特性。

In chapter 1, regression models with censored data, LSE for censored regression models and LAD estimation for models with fixed censoring point are introduced. Then, we state our main results for LAD estimator of nonlinear regression models with randomly censored data, including consistency, boundedness in probability and asymptotic normality. The proofs of our main theorems are given in detail. In chapter 2, we state the main difficulty of obtaining numerical solution for censored LAD estimation, and recall the history of studies on this problem including some anterior algorithms.

在第一章，首先介绍删失线性回归模型的基本概念和性质，并对已有的估计方法，如最小二乘估计、固定点删失的最小一乘估计等做了简单的回顾；然后，把固定点删失线性回归模型的最小一乘估计方法推广到了随机删失、非线性模型的情形，并得到了估计量的一些渐近性质，如相合性、渐近正态性等；最后，给出主要结果的详细证明过程。

In the special case of GLM—normal linear model with classical link function,we compare our methods with existing ones and our methods perform more excellently.Finally,sequential detection of structural changes is studied in nonparametric regression models o Based on Nadaraya-Watson estimator of regression function,we calculate the residual series and construct "residual cumulative sum process" with weight values of kernel estimator of "long-run average density function".

在随机模拟一节中，给出了布朗桥的h-增量过程的"Max-Max"泛函统计量的经验分位数表，并在随机模拟中验证了文中所提"部分和"与"滑动和"方法的有效性，同时在广义线性模型取"典则连接函数"时的特例—正态线性模型场合，与已有方法进行了对比，结果显示文中所提方法表现更优。

Second,a new estimator called generalized rootpower estimator of regression coefficients in growth curve model is obtained.For the newestimator,its superiority over the LS estimator and the root power estimator,and its admissibilityare proved.Two methods,two kinds of arithmetic of choosing the generalized root powerparameters are introduced.A demonstrative practical example is provided.

对增长曲线模型中的回归系数矩阵提出了一种新的估计——广义根方估计，并证明了通过广义根方偏参数的适当选取可使得该估计在均方误差和均方误差矩阵的意义下优于已有的最小二乘估计估计和根方估计；及证明了广义根方估计是可容许估计；还给出了选取广义根方偏参数的两种方法、算法和应用实例。

I will endeavour to find you some assistance.

我尽力帮你找人帮忙。

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起初我只晓得布鲁克雷德丝是美国少男少女崇拜的偶像，后来回台湾，甚至去年在北京，居然也四处看见她的海报，才惊讶她的魅力之大。