----- Original Message ----- From: "Berton Gunter" <[EMAIL PROTECTED]> To: "'Pieter Provoost'" <[EMAIL PROTECTED]>; <[email protected]> Sent: Thursday, April 28, 2005 6:26 PM Subject: RE: [R] normality test
> > > > -----Original Message----- > > From: [EMAIL PROTECTED] > > [mailto:[EMAIL PROTECTED] On Behalf Of Pieter Provoost > > Sent: Thursday, April 28, 2005 7:52 AM > > To: [email protected] > > Subject: Re: [R] normality test > > > > Thanks all for your comments and hints. I will try to keep > > them in mind. > > Since a number of people asked me what I'm trying to do: I > > want to apply > > Bayesian inference to a simple ecological model I wrote, and > > therefore I > > need to fit (uniform, normal or lognormal) distributions to > > sets of observed > > data (to derive mean and sd). > > This is false. You do not need to fit anything to "derive mean and sd." > Perhaps you have not clearly stated what you mean. > > >You probably have noticed that > > I'm quite new > > to statistics, but I'm working on that... > > > > Pieter > > > And you want to use Bayesian methods?! > > I would strongly recommend that you seek a competent statistician to work > with. To paraphrase Frank Harrell (with appropriate apologies for > misattribution, if necessary), correspondence courses in brain surgery are > not a good idea. > > The Bayesian methods I (will) use are implemented in the modelling environment I'm using (FEMME). I'm supervised by the person that developed the environment, and she asked me to fit a normal or lognormal distribution to the observed data. The parameters of that distribution will then be used for the Bayesian analysis. So I suppose my supervisor knows what very well what she's doing, even though I don't (well... not yet). http://www.nioo.knaw.nl/CEMO/FEMME/Index.htm (the Bayesian inference is a recent addition and therefore not discussed in the manual) Pieter ______________________________________________ [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
