So it is very necessary to research the restricted multivariate regression model.
因此研究带约束的回归模型是十分必要的。
This paper USES multivariate regression model to investigate the IPO underpricing in the H-shares market.
文章通过多元回归模型考察了H股IPO抑价的影响因素。
By constructing multivariate regression model, the paper analyzes whether the share structure of the fund management company influences its funds performance.
本文通过构建多元回归模型，研究基金管理公司股权结构对其所辖基金的绩效所产生的影响。
On the condition of reaching the target desulfurization efficiency, optimal operating parameter has been put forward based on this multivariate regression model.
并通过最优模型得出的参数关系，在达到目标脱硫效率的条件下，提出了优化运行的参数值。
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
通过多元线性回归分析，建立了用多种测井信息划分、评价储层的数学模型。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
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 have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.
采用多元正交多项式回归方法建立了冬小麦生产经济收益预测的多元正交多项式回归模型。
A model showing dynamic change of groundwater level for Shenyang area is set up, using the method of multivariate linear regression in random model.
作者应用随机模型中多元线性回归的方法建立了沈阳地区地下水位动态变化模型。
A multivariate regression equation was deduced with a multivariate linear regression model.
通过多元线性回归模型，得出了多因子复合流变方程。
Based on this, forecast model for slope stability was studied by multivariate linear regression and BP neural network methods, and the results were compared with those by limit equilibrium method.
在此基础上，分别运用多元线性回归和BP神经网络方法研究边坡稳定性预测模型，并将其结果与极限平衡分析方法进行对比。
The model of post-dynamic recrystallization has been obtained by using multivariate nonlinear regression analysis.
采用多元非线性回归法得到了后动态再结晶模型。
Finally if establishes model of multivariate linear regression. The results shows that the model is effective.
建立多元线性回归模型，结果表明该模型是很有效的。
The output from 2004 to 2010 was predicted by means of a multivariate regression linear model, including the factors. The results show the model with a higher precision and the better practicability.
建立一个包含这些因子的垃圾产量的多元线性回归分析预测模型，并对2004～2010年的垃圾产量进行预测。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
The valuable influence factors were filtrated and formulated with multivariate regression analysis model.
用多元线性回归模型筛选出对预后有影响的因素，并比较各因素的影响大小。
This paper develops CLIP model of color image based on LIP model of gray image, and makes edge detection in the components fields, and then using multivariate regression method in the.
该文基于灰度图像的对数图像处理LIP模型，建立了彩色图像的对数图像处理CLIP模型，并在此模型上进行了对彩色图像边缘检测技术的系统研究。
The mathematical model of multivariate curve regression analysis was obtained and the corrective ratio was 100%.
在此基础上，得到了多元曲线回归的预测模型，拟合率为100%。
The mathematical model of multivariate curve regression analysis was obtained and the corrective ratio was 100%.
在此基础上，得到了多元曲线回归的预测模型，拟合率为100%。
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