Thank you so much, I have not much experience on outliers =), I thought that there were nonparametric distribution-free outliers test =(. What is the most general distribution I can use? I did histogram of my data set and sometimes normal distribution seems to occur, sometimes an uniform distribution seems to occur. So, I cannot understand what distribution I can use for my whole data set....
S Ellison wrote: > > > >>>> giov <[EMAIL PROTECTED]> 13/08/2008 10:59:32 >>> > >> just a question...I don't know >>what is the distribution of my data (normal, T, etc...). So, how can I > set >>the type parameter? > > You must assume an underlying distribution or you can't do an outlier > test. > > Outliers are just unusually extreme data points. They can only be > considered 'unusual' if there is some basis - a distribution assumption > - for deciding what is 'usual'. The assumed underlying distribution > describes what is expected to be 'usual'. > > With no distribution assumption, there is no basis for considering any > data point unusual, so the idea of an outlier really has no meaning. > > Steve E > > > > > ******************************************************************* > This email and any attachments are confidential. Any use...{{dropped:8}} > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/dixon-test-tp18940260p18964049.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.