Nested-error regression models are widely used for analyzing clustered data. For example, they are often applied to two-stage sample surveys, and in biology and econometrics. Prediction is usually the ...

The mean square error criterion suggests a framework for thinking about the problem of multicollinearity in a linear model. To this end we present some examples to illustrate the linkage of the mean ...

Mean Squared Error (MSE) (90): The average absolute percent error. Moving Average (72): Technique that averages a number of recent actual values, updated as new values become available. Naïve Forecast ...