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IrishStat
IrishStat
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In a similar vein I have seen the mindless utilization of Fourier Models to non-seasonal data , forcing a seasonal structure into the fit and forecast values, causing a similar (gasp !) result. Fitting a presumed model gives the user what he is imposing/presuming which is not always what good analytics would suggest/deliver.

I have seen the mindless utilization of Fourier Models to non-seasonal data , forcing a seasonal structure into the fit and forecast values, causing a similar (gasp !) result. Fitting a presumed model gives the user what he is imposing/presuming which is not always what good analytics would suggest/deliver.

In a similar vein I have seen the utilization of Fourier Models to non-seasonal data , forcing a seasonal structure into the fit and forecast values, causing a similar (gasp !) result. Fitting a presumed model gives the user what he is imposing/presuming which is not always what good analytics would suggest/deliver.

Source Link
IrishStat
IrishStat
  • 30k
  • 5
  • 36
  • 60

I have seen the mindless utilization of Fourier Models to non-seasonal data , forcing a seasonal structure into the fit and forecast values, causing a similar (gasp !) result. Fitting a presumed model gives the user what he is imposing/presuming which is not always what good analytics would suggest/deliver.