We created and applied a artificial-knowledge-era method to more Assess the effectiveness of the proposed product while in the presence of various seasonal elements.
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, is surely an extension on the Gaussian random wander approach, by which, at every time, we might have a Gaussian step that has a probability of p or remain in exactly the same condition with a likelihood of one ??p
windows - The lengths of every seasonal smoother with regard to each time period. mstl If they are substantial then the seasonal component will present less variability after a while. Needs to be odd. If None a set of default values determined by experiments in the original paper [1] are applied.