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? -- View this message in context: http://r.789695.n4.nabble.com/How-to-fit-a-random-data-into-Beta-distribution-tp3492528p3516425.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
