If the preferred specification from a model that includes bank risk characteristics has a higher adjusted [R.sup.2] square and a lower regression mean-square error, it would typically be considered to be the superior model based on goodness-of-fit criteria in the estimation sample.
The regression mean-square error estimate (MSE) is 0.0005.
Speech Enhancement Using a Minimum Mean-Square Error
Short-time Spectral Amplitude estimator // IEEE Trans.
The most common difference measure is the mean-square error (MSE).
To estimate entire image mean-square error (MSE) is used
This approximation is reasonable when the excess mean-square error (EMSE) variance is less than 10% of the minimum mean--square error (MSE) variance [1-2].
The excess mean-square error of the adaptive weights updating algorithm, caused by the fluctuation in the weight coefficients, can be defined as: