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From | Maarten Buis <maartenlbuis@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Testing equal skewness and/or uniform distribution across groups |
Date | Sun, 8 Sep 2013 10:01:19 +0200 |
-simpplot- allows you to graphically check the distirbution of a variable against a standard continuous uniform distribution. It has a test-like flavor in the sense that you can add pointwise and overall confidence intervals. For examples see: http://www.maartenbuis.nl/software/simpplot.html -- Maarten On Sat, Sep 7, 2013 at 8:20 PM, Yuval Arbel <yuval.arbel@gmail.com> wrote: > Dear statalisters, > > Is there any way to test equality of skewness across groups? whether > two samples are drawn from a uniform distribution? > > I found several partial solutions - but what I actually need seems to > be something equivalent to -sdtest- applied to skewness instead of > variance. > > Other partial solutions that I found is to use -sktest-. The problem > is that the test is applied to each group separately and not makes > comparison across groups > > I also tried -ksmirnov-, but this test does not work very well on > small samples and it is not very helpful > > I wonder if there is a better solution. > > As always, your answers will be highly appreciated > -- > Dr. Yuval Arbel > School of Business > Carmel Academic Center > 4 Shaar Palmer Street, > Haifa 33031, Israel > e-mail1: yuval.arbel@carmel.ac.il > e-mail2: yuval.arbel@gmail.com > You can access my latest paper on SSRN at: http://ssrn.com/abstract=2263398 > You can access previous papers on SSRN at: http://ssrn.com/author=1313670 > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ -- --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/