Forecasting time series
Hi all,
I'm new in the community and this is my first post. I have been searching extensively but not found an answer so far...
Let's say I have this time series with historical data until today:
t0 589 (today)
t-1 561
t-2 640
t-3 656
t-4 727
t-5 697
(...)
t-i 640
(...)
t-n 599
I wold like to build a model than can forecast:
t+1
t+2
t+3
and
error(t+1)
error(t+2)
error(t+3)
I have been searching specifically for this case but have not found the proper answer. I only found how to build the predicting model and its accuracy but not how to predict for periods outside the dataset.
Can anyone provide an XML sample to see the structure of the model, please?
Thank you so much in advance
I'm new in the community and this is my first post. I have been searching extensively but not found an answer so far...
Let's say I have this time series with historical data until today:
t0 589 (today)
t-1 561
t-2 640
t-3 656
t-4 727
t-5 697
(...)
t-i 640
(...)
t-n 599
I wold like to build a model than can forecast:
t+1
t+2
t+3
and
error(t+1)
error(t+2)
error(t+3)
I have been searching specifically for this case but have not found the proper answer. I only found how to build the predicting model and its accuracy but not how to predict for periods outside the dataset.
Can anyone provide an XML sample to see the structure of the model, please?
Thank you so much in advance
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