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From: | Michael Creel |
Subject: | Re: Determining if samples are normal |
Date: | Mon, 26 Sep 2005 11:24:27 +0000 |
User-agent: | Mozilla Thunderbird 1.0.6 (X11/20050912) |
Joe Koski wrote:
I agree that the KS test is probably the most widely used. For more info see:Soren, Also take a look at the NIST Handbook, http://www.itl.nist.gov/div898/handbook/prc/section2/prc21.htm for the textbook ways of doing this. I know that both the Chi-square an Kolmogorov-Smirnov (ks) tests are implemented in octave-forge. Joe on 9/25/05 11:59 AM, Søren Hauberg at address@hidden wrote:Hi, Does anybody know how I can test wether or not some samples are normaly distributed? I tried graphical methods, such as looking at histograms and qqplots, but I don't trust my own judgement enough to use graphical methods. /Søren
http://octave.sourceforge.net/index/f/kolmogorov_smirnov_test.htmlThere is a nice GPL statistics package called GRETL that in many ways complements Octave. A histogram of a data series is accompanied by the KS test with p-values
http://gretl.sourceforge.net/ M. ------------------------------------------------------------- Octave is freely available under the terms of the GNU GPL. Octave's home on the web: http://www.octave.org How to fund new projects: http://www.octave.org/funding.html Subscription information: http://www.octave.org/archive.html -------------------------------------------------------------
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