What are the numbers of parameters to be penalized for when using information criterions(BIC or AIC or..) for selecting the best models? Let s say that we have 3 models: 1. Simple exponential smoothing 2. Holt s method(level+trend) 3. Holt Winters(L+T+S), where we have monthly seasonality. How many parameters for penalization does have each model?
This is a really really simple question to which I seem to be entirely unable to get a solution. I would like to do a scatter plot of an observed time series in R, and over this I want to plot the ...