hi: Another question abour overdispersion test. I wanna make sure that: if p value<0.05,then the data is NOT overdispersion; if p value>=0.05,then the data IS overdispersion.
I'm not sure whether it's true,just get the above conclusion from simulated data. Thanks for your help. 2011/4/2 <sa...@hsu-hh.de> > Hi all, > > I have made an overdispersion test for a data set and get the following > result > > Overdispersion test Obs.Var/Theor.Var Statistic p-value > poisson data 16.24267 47444.85 0 > > > after deleting the outliers from the data set I get the following result > > > Overdispersion test Obs.Var/Theor.Var Statistic p-value > poisson data 16.27106 0 1 > > > The problem is that the overdispersion parameter does not really change, > but how could the p-value and the statistic change so that the null > hypothesis is accepted?? > > I would be very grateful if someone could help me? > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org 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.
