Hi, @Steven: Since Beta distribution is a generic distribution by which i mean that by varying the parameter of alpha and beta we can fit any distribution. So to check this i generated a random data from Normal distribution like
x.norm<-rnorm(n=100,mean=10,sd=10); Now i want to estimate the paramters alpha and beta of the beta distribution which will fit the above generated random data. That's what i want to do. @Ali: When you said you drafted your own procedure, do you mean that you are calculate the parameters using MLE or bayesian..???Can you please give me some more ideas into this? Thanks and Regards, Som Shekhar ______________________________________________ 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.
