Hi all,
I have a large number of measurements from which I select a large number of
unique vectors. For each vectors I would like to test which distribution might
be a candidate for fitting.
It is impossible to look on each vector separately but I can inside a for loop
test different models and based on their goodness of fit to make offline
decisions (I will be saving goodness of fits results on a text file).
Do you know given a vector how I can get the goodness of fit for the "basic"
distributions : "norm", "lnorm", "pois", "exp", "gamma", "nbinom",
"geom", "beta", "unif" and "logis"
Is it possible to try many of those (or at least some of the above) and try to
get these results?
Regards
Alex
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