Mean squared error

Let $\widehat{\theta }$ be an estimator of an unknown parameter $\theta _{0}$. The estimation error is:[eq1]When the squared error is used as a loss function, then the risk of the estimator (i.e. the expected value of the loss) is:[eq2]and it is called the mean squared error (MSE) of the estimator $\widehat{\theta }$.

More details about loss functions, statistical risk and the mean squared error can be found in the lecture entitled Point estimation.

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