| 11. | Where, MSE denotes the mean squared error.
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| 12. | In the end the FIC selects the model with smallest estimated mean squared error.
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| 13. | Then the "'mean squared error "'of the corresponding estimation is
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| 14. | However, a terminological difference arises in the expression mean squared error ( MSE ).
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| 15. | The disadvantage is that the mean squared error between y and d is not minimized.
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| 16. | Mean squared error is used for obtaining efficient estimators, a widely used class of estimators.
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| 17. | This estimator also has a uniformly smaller mean squared error than the corrected sample standard deviation.
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| 18. | Mean squared error is also called the quantization "'noise power " '.
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| 19. | Typical algorithm is Balanced k-Means, which minimizes mean square error ( MSE ).
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| 20. | Secondly, the sample variance does not generally minimize mean squared error between sample variance and population variance.
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