How do we fit ARIMA model to data with monotonically increasing trend?

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Geoffrey Laird

Hi Arnab,

Have you look at the attached reference ? I believe this is a good start. Notably the Arima and auto.arima function from the R package forecast. The orders of your model will be determined using usual information criteria such as AIC, BIC, etc...

By the way, you do not "erase" a drift by considering 1st difference, see the reference for more details on the equations.

Regards,

Geoffrey

https://robjhyndman.com/hyndsight/arimaconstants/

Arnab N. Patowary

Thank you very much....

Ette Etuk

if after differencing the series the ACF and PACF have no significant correlation it is an indication that p=q=0 in which case the series is white noise.