相合估计

误差密度的相合估计

The consistent estimate of error density

将泛函分析的逼近论方法运用于随机函数空间，而在此观点下，给出线性回归模型理论的非线性推广，且得到其回归（最佳逼近）系数与回归（最佳逼近）误差的强相合估计。

The paper applies approximating throry of functional analysis to the space of random function , it spreads linear regression modle to geeral non-linear situation and obtain a strong consistent estimate for regression ( best approximation ) coefficient and regression ( best approximation ) error .

基于一定的光滑性假设，得到了这种双边截断分布族的Bahadur界，并因此给出了该分布族中相合估计为Bahadur渐近有效估计的定义。

Based on some smooth conditions , the Bahadur bound for this distribution family is derived , and a definition of Bahadur efficiency is proposed .

关于密度函数随机窗宽的相合估计的注记

A note on consistent estimation of random window-width of density function

二类跳跃回归函数的强相合估计

Strong consistent estimates of two kinds of jump regressive function

相依样本非参数回归模型误差的相合估计

Consistent Estimation of Residual Density Function in Nonparametric Regression Model Under Dependent Samples

自变元带不同误差的多重线性关系模型的广义强相合估计

The generalized strong consistency of unknown parameters in a multivariate linear functional relationship model

一类多重线性关系模型参数的强相合估计

Strongly Consistent Estimation for a Multivariate Linear Relationship Model with Estimated Error Covariance Matrix

污染数据回归模型的相合估计

Consistency Estimation in Regression Model for Contaminated Data

污染线性模型的相合估计

Consistent Estimation in Contamination Linear Model

文中，利用最大似然型的准则，找到了回归系数方向的相合估计。

Li and Duan use maximum likelihood type criteria to get a consistent series of estimators of the direction .

利用局部线性方法来估计条件期望从而得到了参数部分的相合估计。

We ob-tain the consistent estimation of the Parametric part by using local linear method to estimate the conditional expectation .

在数据缺失机制形式未知时，通过两步抽样得到了分布函数的相合估计量，证明了该估计量的渐近正态性。

The more information about missing mechanism is known , the move efficient of the estimates obtained by using the method .

本文利用数据分组的思想，提出分组最小二乘估计法进行参数估计，减少了参数估计的偏差。并且在只知道误差界的情况下，利用分组最小二乘能给出几种度量误差模型的相合估计。

Combining the grouping technique and the least squares method , the paper give a new estimator in the linear Measurement Error Models .

本文证明了在不放回抽样条件下，样本平均数不仅是总体均值的无偏估计，而且还是相合估计。

In this paper , the author proves that sample average is both the non-deviation estimation and consistent estimation of overall mean value .

在备择假设成立时证明了检验的一致性，并给出变点个数和变点位置的相合估计。

Under the alternative hypothesis , we also obtained the consistent estimation of the number and location of the change points . Examples of thresholding empirical wavelet coefficients to test change points are presented .

NQD样本下非参数回归函数最近邻密度估计的相合性Rosenblatt估计与最近邻估计相合性的模拟比较

The consistency of the nearest neighbor density estimator of the nonparametric regression function for pairwises negative quadrant dependence sequences

线性模型中相依误差分布的相合非参数估计

Consistent Nonparametric Estimation of Related Error Distributions in Linear Model

本文为1/n~（1/2）相合的M估计序列设计了随机加权统计量。

In this paper , random weighting statistics is designed for the consistent series ofM-estimators .

条件密度的强相合的双重核估计

Double kernel estimators of conditional density