How does the R module ARIMA account for unspecified deterministic structure
such as seasonal pulses, level shifts, local time trends and regular pulses
without needing to ask the user to intervene to specify this?
I have attached a Makradakis paper which hammers Box-Jenkins approach to
this
Nuncio,
No, there is no requirement to subtract the mean.
It is required that the residuals are N.I.I.D. (ie constant mean and
constant variance). If you have an upward trending series, for example,
then the series would need to be deseasonalized so that it is constant.
There are many many
Cathy,
How does this model look?
[(1-B**4)]Y(T) = 20.767
+[X1(T)][(1-B**4)][(+ 56.1962)] :PULSE 7/
4 I~P00028test
Kevin,
Kudos to you for asking a question that most do not
I have attached an analysis of your residuals for 10 inch called
10inchres.zip. I have also attached our analysis as 10inches.zip. I have
posted some reports for you and added some commentary to help you understand
this all fully.
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