Hello,
a customer told me that in an older version of JMP there was a functionality to decompose time series. The data has one time column and one measurement column. The analysis then tells how many significant seasonal trends could be overlaid to fit the data and what the respective periodicity is. E.g. the curve may be build by adding a 3-hour season, a 7 hour season and a 10 hour season and the rest is white noise. He couldn't remember to have specified a model or other parameters.
I couldn't find any timeseries functions that deliver something like that nor can I imagine other platforms that do something like this.Any hints?
Thanks and best regards
Bernd