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
-------------------------------------------------------------
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
-------------------------------------------------------------
-------------------------------------------------------------
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
-------------------------------------------------------------