Weighted least squares regression.
加权最小二乘回归。
You can also compute partial least-squares regression.
你可以计算偏最小二乘回归。
Then it builds a model by partial least squares regression on the obtained sample space.
在相对合理的样本空间中采用偏最小二乘回归建立模型。
But the partial least squares regression models can be expressed by the original variables.
但是，由于偏最小二乘回归模型最终可以表示为原有所有变量的回归方程。
Least squares regression with nine model selection techniques, including stepwise regression.
最小二乘回归模型选择与九技术，包括逐步回归。
It has been shown that partial least squares regression is a good method that can be adopted.
实践表明，偏最小二乘回归是一种可以采用的方法。
The most accurate method to determine the behavior pattern of a mixed cost is least-squares regression.
测定混合成本行为模式的最准确的方法是最小二乘回归。
Coupling partial least-squares regression and neural network in the article, the forecasting model of the quantity of runoff is established.
将偏最小二乘回归与神经网络耦合，建立了径流量预报模型。
Partial least squares regression is a statistical method which is based on a set of dependent variables to predict the independent variables.
偏最小二乘回归是通过一组自变量来预测一个或一组因变量的统计方法。
This paper use partial least squares regression analysis and quarter of the model to identify the key factors affecting customer satisfaction.
本文利用偏最小二乘回归分析方法和四分模型找出影响顾客满意度的关键因素。
While in order to preview the change of natural gas price more accurately, I choose improved BP model-partial Least Squares Regression to forecast the price.
同时，为了更精确地预测天然气价格变动，我选择BP模型的改进模型也就是偏最小二乘神经网络模型对天然气价格进行预测。
In this paper the factor analysis method is presented to transform orthogonally the optimal subspace, which is obtained from partial least squares regression.
本文提出采用因素分析方法，对偏最小二乘回归的最优子空间进行正交变换。
Partial least-squares regression (PLS) method is applied in the construction of the production function based cost function model of electricity distribution utilities.
文中应用偏最小二乘（PLS）回归方法建立了配电商的基于生产函数理论的成本函数模型。
To avoid multicollinearity's disturbance, partial least-squares regression which can identify system information and noise is introduced to model, and a program is compiled.
为了克服多重相关性对模型的干扰，引入了能辨别系统信息与噪声的偏最小二乘回归，并编制了程序。
Based on the characteristics of the amphibious armored car operational effectiveness and partial least-squares regression, the forecast method of operational effectiveness is introduced.
针对两栖突击车作战效能和偏最小二乘的特点，提出了基于偏最小二乘预测作战效能的方法。
To further improve the calibration precision of the previous regression algorithms, an iterative local algorithm of color calibration based on kernel partial least squares regression is proposed.
为进一步提高回归算法的色彩校正精度，提出一个基于核偏最小二乘回归的局部迭代算法。
Initial qualitative solutions obtained by evolving factor analysis can be further optimized by simultaneous analysis of multiple electrophoresis run data with alternating least-squares regression.
由渐进因子分析所得的分析结果可作为交替最小二乘优化的初始值。
To avoid multicollinearity's disturbance, partial least-squares regression which can identify system information and noise is introduced to model, and a novel seepage monitoring model is introduced.
为了克服多重相关性对模型的干扰，本文引入了能辨别系统信息与噪声的偏最小二乘回归，并提出了一种基于偏最小二乘回归原理的土石坝渗流监控模型。
This paper discusses how to design an adaptive filter to remove the noise of an image in terms of the principle of least squares and regression model.
文章讨论如何根据最小二乘原理和回归模型设计出自适应滤波器，以用于消除图像噪声。
The LZ algorithm presented in this paper makes possible the solution of the multiple regression analysis problems in management prediction without turning to the commonly used method of least squares.
本文提出的LZ算法，使管理预测中所涉及的多项目回归分析问题，无需采用最小二乘法就能得到解决。
An adaptive filter is designed in the paper to remove the noise of an image in terms of the principle of least squares and regression model.
根据最小二乘原理和回归模型设计出消除噪声的自适应滤波器，以消除图像的噪声。
Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.
由历史数据推测未来趋势的众多方法中较突出的有：时间序列法、最小平方法、指数平滑法、回归分析和相关分析。
If there appears to be a linear relationship test results should be established by appropriate statistical methods (e. g. by calculation of a regression line by the method of least squares).
如果其呈现线性关系，测试结果应该通过适当的统计学方法(例如，以最小二乘方来计算回归线)来确立。
This article researches the coefficient estimating problem of the linear regression model and the math analysis foundation of the least squares estimation applying in the coefficient estimating.
本文研究了线性回归模型中的参数估计问题，运用最小二乘法进行参数估计的数学分析基础。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
In linear regression, the least squares estimation is heavily innuenced with outlyers.
在线性回归中，常用最小二乘估计求线性方程的回归系数。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
应用推荐