We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend and seasonal. Periodic time series models allow dynamic characteristics to depend on the period of the year, month, week or day. In the...

We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend and seasonal. Periodic time series models allow dynamic characteristics to depend on the period of the year, month, week or day. In the...

We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend and seasonal. Periodic time series models allow dynamic characteristics to depend on the period of the year, month, week or day. In the...

This discussion paper resulted in a publication in <I>Computational Statistics & Data Analysis</I> (2006). Vol. 51, issue 2, pages 885-903.<P> We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend and...</p></i>