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