Question that I have to ask has two parts: first, related to statistics, in principle, and second, related to R-how-to, in particular. In very brief, I have collected pretty solid sample for a phenomenon that has two possible interpretation of how it is distributed in the population; for example, beta and gamma distributed. How it can be tested which model (theoretical distribution) suits better actual data? Except some vague idea that bootstrapping or jackknifing could be used, I have no further thoughts on that matter. Could it be tested in R and how?
Sincerely, Petar Milin ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
