Forecasting, time series, and regression : an applied approach

By B. Bowerman, R. T. O'connell, Anne B. Koehler. 2005

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Medium-term electric load forecasting using singular value decomposition (2011, background): “The process of making such predictions is called forecasting [1].”
Managing computational complexity using surrogate models: a critical review (2020, methodology): “The mean absolute percentage of error is very frequently used to test the accuracy of an approximation because it is interpretable and scale-independent (Dobler and Anderson-Cook 2005).”
Robust forecasting with exponential and holt-winters smoothing (2009, methodology): “For Holt’s method (2), an h-step-ahead forecast of yt is obtained as ŷ y hFt h t t t+ = + (3) The starting values ỹm and Fm of the recursive equations in (2) can be obtained by a linear ordinary least squares fi t in a startup period, as described in Bowerman et al. (2005).”
Automatic Time Series Forecasting: The forecast Package for R (2008, background): “(1998) or Bowerman et al. (2005). These authors replace (1c) with”