Hi,
I have some data from 1 year ago that is a measure of the number of days a
person used a certain product. I used fitdist to build a mle for this data
and got a pretty good fit.
My issue is that this data is outdated. I have new data from Januarry of
this year and would like to build a distribution for this as well. The only
problem is that the mean is greater than the number of days is far greater
than the number of days between today and January. So, the computed mean
will be artificially lower than the true mean should be. Is there any way
that I can use the first 90 days of data to model what the rest of the
distribution would look like? Let's assume that I can use some of the
parameters from my first MLE on the older data. Is this something that is
possible? I'm not sure where to start..
Thanks for your help!
Tim
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