| 21. | But from the above equation we find that the mean squared error of a biased estimator is bounded by
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| 22. | Well-established alternatives are the mean absolute scaled error ( MASE ) and the mean squared error.
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| 23. | Compared with published values, this calculation has a root mean square error of only 3.7 s.
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| 24. | AMBTC is computationally simpler than BTC and also typically results in a lower Mean Squared Error ( MSE ).
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| 25. | Other loss functions can be conceived, although the mean squared error is the most widely used and validated.
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| 26. | When we use the mean squared error as distortion measure, we have ( for amplitude-continuous signals ):
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| 27. | This is to be contrasted with principal component analysis which seeks to minimize the mean square error of all residuals.
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| 28. | This forms an unbiased estimate of the variance of the unobserved errors, and is called the mean squared error.
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| 29. | It accepts little bias to reduce variance and the mean square error, and helps to improve the prediction accuracy.
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| 30. | Two naturally desirable properties of estimators are for them to be unbiased and have minimal mean squared error ( MSE ).
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