Exercises

• Learn more about the other measures of accuracy provided by forecast function's accuracy function. What advantages does MAPE have over RMSE/MAE
• Learn how to interpret the alpha, beta, gamma, (and sometimes phi) parameters of an ETS object. What does it mean to have a low beta parameter? Try to explicitly specify extreme values for some of these parameters using named arguments in the ets function. How does it affect the quality and dynamics of your forecasts?
• The GitHub repository that we used to download some of the data sets in this chapter (and we will be using for different data sets for subsequent chapters, as well) also contains a data set containing Google searches for Dr. Martin Luther King, Jr., what example series in this chapter does this most resemble? Is there seasonality in this series? If so, when do the spikes in searches occur...