Posted Time & Date | 06:18 PM - 03 April 2017
What is mean squared error (MSE)?
Mean squared error of an estimator, and a parameter is the expected value of the square of the difference between the estimator and the parameter. Suppose, if X is an estimator of the parameter t, then
MSE(X) = E( (X−t)2 )