| 1. | The mean square error ( MSE ) may be rewritten as:
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| 2. | A linear estimator which minimizes the mean square error is sought.
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| 3. | In effect, it is the mean squared error of the forecast.
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| 4. | Root mean square error is simply the square root of mean squared error.
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| 5. | Root mean square error is simply the square root of mean squared error.
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| 6. | Like variance, mean squared error has the disadvantage of heavily weighting outliers.
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| 7. | This is called the mean square error ( MSE ) of the regression.
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| 8. | The test of realism was done with a root mean square error test.
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| 9. | To minimize the mean squared error ( MSE ).
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| 10. | This approach of minimizing integrated mean squared error can be generalized beyond Normal distributions:
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