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For most traits, the overall fit of the model to the data, judged by the mean squared prediction error (MSE), favored both GBLUP methods over the Bayesian regression methods (Table 3).
The quality of estimation is measured by the mean squared error.
The optimal neural network architectures are determined by the mean squared error (MSE) minimization technique.
There were also no differences in consistency of choices, as measured by the mean squared model prediction error per trial per participant (F 3,53) = 0.68, p = 0.57).
This difference is measured by the mean squared error as follows: (16).
The reconstruction error is measured by the mean squared error (MSE) between the real response and the recovered response, i.e., MSE h = h ^ − h / h (15).
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Its fit to the required profile measured by the mean square error is 0.25%.
The mobility of hydroxide ions was studied by the mean square displacement (MSD) curves.
Another equation shows the mean power transferred for wide band random force is equal to the value of the impulse response function at zero time multiplied by the mean square value of the driving force.
The quality of estimation was measured by the mean square error (MSE).
Distortion between the recovered image and the original image is represented by the mean square error (MSE).
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