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均方根误差
The root mean square error, adjusted for degrees of freedom.
均方根误差,已针对自由度进行调整。
The relative standard error is computed by setting the root mean square error equal to 1.
通过将均方根误差设置为 1 来计算相对标准误差。
where s is the root mean square error.
其中 s 是均方根误差。
Simulation results show the root mean square error of torque measurements is 1.6%, and the steadystate measuring accuracy is 2% and 0.5% before and after lowpass filtering respectively, which can meet the requirements for torque measurements.
This example shows a power analysis for the Catalyst variable, using default value for a (0.05), the root mean square error and parameter estimate for Catalyst, for a sample size of 12.
An estimate of the error standard deviation could be the root mean square error (RMSE) from a previous model fit.
误差标准差的估计值可以是先前的模型拟合的均方根误差 (RMSE ) 。 额外参数
When there is no penalty in the estimation method, the estimate of the scale parameter σ is the root mean square error (RMSE).
若估计方法中无罚值,则尺度参数 σ 的估计值为均方根误差 (RMSE ) 。
The root mean square error (RMSE) for the regression model associated with the tree.
与树关联的回归模型的均方根误差 (RMSE ) 。
You can show the root mean square error (RMSE), R-square, and the equation of the regression line. Variables
您可以显示回归线的均方根误差 (RMSE ) 、 R 方和方程。 变量
ANOM for Variances: the root mean square error (or MSE when in variance scale)
方差 ANOM:均方根误差(以方差为尺度时为均方误差)
Shows a Press Report giving the Press statistic and its root mean square error (RMSE).
显示提供 Press 统计量及其均方根误差 (RMSE) 的 Press 报表。
Root mean square error for the model.
模型的均方根误差。
Note: Root Mean Square Error is commonly known as RMSE.
注意: 均方根误差通常称为 RMSE 。
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