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。
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。
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。
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