A method, combination of grey-system theory with multivariate regression linear analysis, was used to predict the output of municipal solid waste (MSW).
将灰色系统理论与多元线性回归分析方法相结合，是研究城市生活垃圾产量预测的一种改进方法。
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。
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。
The data were treated with univariate and multivariate analysis of variance, multiple linear regression analysis and t test.
数据处理方法包括单因素多变量方差分析、多因素线性回归分析和t检验。
This paper deals with the quantitative relations between regression coefficients and partial correlation coefficients in multivariate linear regression, and their statistical meanings.
本文论述多元线性回归中的回归系数与偏相关系数之间的数量关系以及它们的统计意义。
Then the corresponding multivariate linear regression equations are established.
并建立相应的多元线性回归方程。
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。
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。
This paper presents the prediction of Si content of molten iron by adopting methods of multivariate linear regression and neural networks.
文章分别用多元线性回归方法和神经元网络方法对铁水的硅含量进行预测。
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。
Multivariate linear regression algorithm is used in calibration software design.
在定标软件中采用了多项式线性回归算法。
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。
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 topic diffusion analysis technology based on diffusion map and multivariate linear regression has been studied.
提出基于传播图和多元线性回归的话题传播分析技术。
In BBS, we study the index system affecting topic diffusion to achieve the diffusion trend forecast based on multivariate linear regression theory.
在论坛内，提炼影响传播行为的指标体系，并结合多元线性回归理论，实现了对传播趋势的预测。
In this paper, we discuss the admissibility for linear estimates on multivariate regression coefficients.
本文讨论多元回归系数线性估计的可容许性。
The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered.
本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。
The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered.
本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。
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