model selection criteria

Learning outcomes: Define mean squared error (MSE) and explain the implications of MSE in model selection. Explain how to reduce the bias associated with MSE and similar measures. Compare and evaluate model selection criteria, including s^2, the Akaike information criterion (AIC), and the...