error sum squares
- error sum squares的基本解释
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误差平方和
- 更多网络例句与error sum squares相关的网络例句 [注：此内容来源于网络，仅供参考]
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Therefore, the absolute magnitude of the error pattern can be represented by the extra sum of squares using the weighting factor .
因此，绝对程度的误差模式可以通过多平方用加权因子代替。
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The basic principle of least-squares method is to choose the model parameters minimizing model error sum of squares, thus the name "least squares method."
最小二乘法的基本原理是选择模型参数极小化模型误差平方和，因此而得名"最小二乘法"。
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The "0,1" linearization was conducted on the predictors and predictands,and the initial selection was based on the PRESS(Prediction Residual Error Sum of Squares) criterion.
预报系统投入业务应用，检验证明预报效果较好，提供了有效的地市级客观预报指导产品。
- 更多网络解释与error sum squares相关的网络解释 [注：此内容来源于网络，仅供参考]
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error sum of squares：误差平方和
Error structure process 误差项结构程序 | Error sum of squares 误差平方和 | Error term 误差项
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Estimated error sum of squares：估计误差平方和
Estimated error mean squares, 估计误差均方 | Estimated error sum of squares, 估计误差平方和 | Euclidean distance, 欧式距离
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Estimated error sum of squares：估量误差平方和
Estimated error mean squares, 估量误差均方 | Estimated error sum of squares, 估量误差平方和 | Euclidean distance, 欧式距离