Moreover, multivariate linear models have been established between each element content and the characteristics factors of precipitation in throughfall, stem-flow, stream.
且建立了穿透水、干流和总径流的各化学元素含量与降雨特征因子的多元线性关系。
In the present paper, We give the necessary and sufficient conditions for which the minimum variance linear unbiased estimator reduces to the least square in multivariate linear models.
本文讨论回归方程组系数的估计，给出最小二乘估计是有效估计的条件。
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。
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