this way the problem is not well posed. You need to place an upper bound on the number of distributions in the mixture you want to estimate, for otherwise the likelihood is unbounded (take one normal distribution for each value in your data).
----- Original Message ----- > Do you know which observations came from which process (you do in your > example, but it whatever it is supposed to emulate)? No- I need to determine whether more than one process could have been involved. ______________________________________________ R-help@stat.math.ethz.ch 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.
