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第二章

第二章. 多元线性回归. §2.1 多元线性回归模型. §2.2 参数的最小二乘估计. 参数估计的性质. §2.3 回归方程的显著性检验. §2.4 回归系数的显著性检验. §2.5 回归系数的置信区间. §2.6 预测. 加权最小二乘法. 例 2.3 的 SAS 实现. data example2; input x1 x2 y; cards; ….. ; run ; proc reg ; model y=x1 x2/p r clm cli; run ;. 方差分析. The REG Procedure

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第二章

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  1. 第二章 多元线性回归

  2. §2.1多元线性回归模型

  3. §2.2 参数的最小二乘估计

  4. 参数估计的性质

  5. §2.3 回归方程的显著性检验

  6. §2.4 回归系数的显著性检验

  7. §2.5 回归系数的置信区间

  8. §2.6 预测

  9. 加权最小二乘法

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