On May 11, 2011, at 11:17 PM, MikeK wrote:
I am also trying to fit data to a beta distribution.
In Ang and Tang, Probability Concepts in Engineering, 2nd Ed., page
127-9,
they describe a variant of a beta distribution with additional
parameters
than the standard beta distribution, enabling specification of a max
and min
value other than 0,1. This would be very useful for my purposes.
Any thoughts on how to fit a distribution directly to this variant
of the
beta distribution, without starting from scratch?
Scale your data to [0,1], fit, predict, invert the scaling.
xscaled <- (x-min(x))/max(x)
....
xrescaled <- max(x)*xscaled + min(x)
(Better check that I made the correct order of those operations. The
first attempt was wrong ... I think.)
--
David Winsemius, MD
West Hartford, CT
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