Web Reference: Probability Bites Lesson 67Minimum Mean-Square EstimationRich RadkeDepartment of Electrical, Computer, and Systems EngineeringRensselaer Polytechnic Institute Minimum mean square error estimator In statistics and signal processing, a minimum mean square error estimator (MMSE estimator) is an estimation method which minimizes the mean square error (MSE), which is a common measure of estimator quality, of the fitted values of a dependent variable. Throughout our discussion in this and the related subsequent chapters, we focus primarily on choosing our estimate to minimize the expected or mean value of the square of the error, re ferred to as a minimum mean-square-error (MMSE) criterion.
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