Hi all! i'm trying to use R to fit a data model... the model describes the lenght of a process.
I find that it's histogram is of this sort * * * ** *** *** *** ****** ********* ******************************* under fisrt "peak" there is 70% of my events and under the second 30%. Can conclude that my population is bi modal or i'm wrong? The second peak is good fitted using a normal distribution. The first seems to be a exponential or weibull distribution. How can i approxximate the "added" distribution (normal + weibull"? I try nlm or optim but they don't converge at all... Another question. how to estimate well starting points for parameter estimation... thanks, nelson ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
