Nelson, I do not know of any formal hypothesis testing mechanism, but I recommend a QQ plot regardless. Venables and Ripley (2002, 4th edition MASS) have a detailed example for the mixed normal case (see page 440 in particular) that could be adapted for your normal + weibull case. Or you could construct the model quantile portion yourself.
Hope that helps, Bill ------------------------------- Bill Pikounis, PhD Nonclinical Statistics Centocor, Inc. > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] Behalf Of nelson - > Sent: Monday, November 06, 2006 9:58 AM > To: r-help@stat.math.ethz.ch > Subject: [R] goodness of fitting for a mixed distribution > > > Hi all! > i have done a fitting of experimental data using optim function and > setting up my mixed distribution logliklehood (it is a linear > combination of a normal and a weibull distribution). How can i test > the goodness of fit? I want to be able to say that my distribution fit > the data at 90%, 95% or so on.... > > thanks in advance, > nelson > > ______________________________________________ > 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. [[alternative HTML version deleted]] ______________________________________________ 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.
