This is definitely a statistics question still so not on topic here... as
changing the data is exactly the kind of thing that can have this effect.
On May 14, 2019 10:51:20 AM MDT, Michael Howell <mchowell2 at gmail.com>
wrote:
Good morning,
I was asking a more statistics oriented question on another board and
someone demonstrated auto.arima() from the forecast package on my data.
The
function returned a (2,1,0) model with drift. However when I used the
same
function it returns a (1,1,0) model. There were no obvious differences
in
the code. The only thing passed to it was the data. How might this
happen?
The (2,1,0) model works better so I would like to be able to reproduce
the
results.
Regards,
Michael Howell
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