biased estimate

Research on New Biased Estimate ── Principal Elements Sweep Estimate

新的有偏估计的研究&主扫描估计

On biased estimate methods for linear regression models

关于线性回归模型的有偏估计

Two problems on biased estimate of regression coefficient

关于回归系数有偏估计的两个问题

A New Class of Biased Estimate

一种新的有偏估计

The Mixed Estimate and Biased Estimate of Error Variance

误差方差的混合估计和有偏估计

Influential Point Test for Some Biased Estimate

若干有偏估计的强影响点的显著性检验

In chapter two , we introduce some basic knowledge of matrix , linear model , and some biased estimate .

第二章介绍了文中涉及到的基础知识，包括矩阵、线性模型及有偏估计等基本概念。

Robust estimate and biased estimate of regression coefficients are two kinds of regression model fitting methods for non-optimal data .

回归系数的稳健估计和有偏估计是两种根据非典型数据建立线性回归模型的方法。

A biased estimate for regression coefficients

回归系数的一种有偏估计

The scope of application of the three special stochastic models to normal distribution & A concurrent discussion on the biased estimate of arithmetic average

正态分布三个特殊随机模型及适用范围&兼论算术平均值是有偏估计

In this paper , a new biased estimate , which is called the united regression estimate ( URE ), is proposed for the regression coefficient in multivariate linear models .

本文提出了多元线性模型回归系数的一种新的有偏估计&联合回归估计。

For multivariate normal linear model , a nonlinear biased estimate of regression coefficients , which is multivariate generalized Stein estimate , is presented by the method of minimizing mean square error of linear estimate in this paper .

对于多元正态线性模型，采用极小化均方误差的方法得到了回归系数的一种非线性有偏估计，即多元广义Stein估计，给出了它的偏差及其均方误差的渐近展开式。

Starting with the equivalence condition of admissibility , this paper discusses respectively the linear biased estimate of the regression coefficient of thee models : the G-M Linear Regression Model , the Multivariate Linear Regression and the Mixed-effect Coefficient Linear Model .

本文以可容许性的等价条件为起点，分别讨论了G-M线性回归模型、多元线性回归模型和混合系数线性模型的回归系数的一类线性有偏估计。

In a biased study of the estimate , the ridge estimate is the most extensive .

在有偏估计的研究中，岭估计的研究最广泛。