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。
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。
Finally, a linear model is established to forecast diurnal NEE through variance analysis and multiple linear regression methods.
最后，利用方差分析和多元线性回归方法建立了预报日nee的线性模型。
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