基本释义:

回归估计量

网络释义

1)regression estimator,回归估计量

2)regression composite estimator,回归组合估计量

3)weighted regression estimator,加权回归估计量

4)mixed regression estimator,混合回归估计量

5)Regression estimate,回归估计

6)regression,回归估计

用法和例句

In accordance with the problem of seasonal fluctuation coefficient in sample survey of transport volume, this paper discusses the structure of regression estimator and the regression estimator′s application in two-phase sampling under the condition of sampling with PP

本文针对交通运输量抽样调查中存在的波动系数问题，讨论在ＰＰＳ的抽样条件下，回归估计量的构造及其在两相抽样中的应

Furthermore,regression composite estimator is constructed by thes.

在使用样本轮换的连续性抽样调查中,不仅可以利用前期调查的研究变量的信息,还可使用现期调查的辅助变量信息来建立回归模型进行回归估计,进而构造回归组合估计量,并在此基础上确定最优样本轮换率和最优权重系数,使得回归组合估计量的方差最小,从而更大程度地提高连续性抽样调查的估计精度。

A comparative study of systematic sampling and regression estimate for controlling total volume was conducted.

结果显示,回归估计可充分利用抽样调查与小班调查的综合信息,提高控制二类调查蓄积量的精度,提高成果质量。

Through combining the advantages of field theory with adaptive resonance theory and contraposing the characteristics of regression estimate problem, a novel neural network regression estimate algorithm FTART3 is proposed in this paper.

结合自适应谐振理论和域理论的优点 ,针对回归估计问题的特性 ,提出了一种新型神经网络回归估计算法 FTART3。

the principal component analysis and regression estimate.

采用主分量分析与回归估计相结合的方法，研究近３５年来江苏沿海气温变化对北半球增暖的响应状况。

The basic ideas of SVM for pattern recognition and regression are introduced.

基于统计学习理论的支持向量机(SVM)是一种新型的机器学习方法,描述了SVM在模式识别和回归估计中的基本思想。

A support vector machine for regression is presented.

介绍机器学习的表示方式,分析和比较机器学习中经验风险最小化原则和结构风险最小化原则,引出用于回归估计的支持向量机,并用数学方式阐述其基本思想,讨论支持向量机技术发展中存在的主要问题。

Support Vector Machine (SVM) for regression has recently attracted growing research interest due to its obvious advantage such as nonlinear function approximation with arbitrary accuracy, and good generalization ability, unique and globally optimal solutions.

用于回归估计的支持向量机方法以可控制的精度逼近非线性函数,具有全局最优、良好泛化能力等优越性能,得到广泛的研究。

Bias of the Estimator Double Sampling for Multiple Linear Regression and Estimate of Mean Square Errors of this Estimator;

双重多元线性回归估计量的偏差和均方误差的估计量

RATIO AND REGRESSION ESTIMATION PROCEDURES USED IN RANDOMIZED RESPONSE MODELS FOR QUANTITATIVE DATA

数量特征随机化回答模型中的比估计和回归估计方法

In regression, we can have only one dependent variable in our estimating equation.

在回归分析中，估计公式只能有一个相关变量。

Admissibility of Regression Coefficient in Variance Components Models(Ⅱ)

方差分量模型中回归系数估计的可容许性(Ⅱ)

Firstly, the algorithm of SVM in regression approximation is introduced.

首先，介绍了支持向量回归估计的学习算法。

Consistency of the Least Squares Estimator in Nonlinear Regression Model;

非线性回归模型中最小二乘估计量的相合性

Improved Regression Estimation Algorithm of SVM and Its Applications;

改进的支持向量机回归估计算法及其应用

Learning Algorithms and Applications of the SVM for Regression;

用于回归估计的支持向量机的学习算法及应用

Estimation of unknown regression coefficient matrices in the extension of the Growth Curve Model with covariate variables;

有协变量的推广增长曲线模型回归参数的估计

An Analysis on the Convergence Rate of the Distribution of OLSand GLS Estimators;

回归系数OLS,GLS估计量分布的收敛速度分析

The Sample Size Calculations for Log-rank Test and Cox Regression in Survival Analysis

生存分析log-rank检验和Cox回归样本含量估计研究

The Parameter Estimation of Measuring Error Secondary Polynomial Regression Model

测量误差二次多项式回归模型的参数估计

Generalized regression neural network-based traffic matrix estimation

基于广义回归神经网络的流量矩阵估计

ESTIMATION FOR POLYNOMIAL REGRESSION FUNCTION OF RANDOM INDEPENDENT VARIABLE

随机自变量多项式回归函数的估计问题

regression model for fertility estimation

生育率估计的回归模型

Local Regression Estimation of the Semipar Ametric Models;

半参数回归模型的局部回归估计方法

Regression on order statistics and its application in estimating nondetects for food exposure assessment

次序统计量回归及其在食品暴露评估未检出值估计中的应用

A regressive prediction model containing recursive kernel regression estimation;

一种包含递归的核回归估计的回归预测模型