Hollander and Wolfe (Nonparametric Statistical Methods) present the Ansari-Bradley test and Miller Jackknife test for the two-sample dispersion problem. Other tests for this problem are the Mood test, the Siegel-Tukey test, and the Moses test.

Jackie Dietz

-------- Original Message --------
Subject: nonparametic "F test"
Date: Thu, 25 Sep 2003 14:56:52 GMT
From: "seferiad" <[EMAIL PROTECTED]>
Organization: SBC http://yahoo.sbc.com
To: [EMAIL PROTECTED]

I want to compare the variance of two "different" data sets for hypothesis
testing.  If I assume the distributions of both data sets were normal, then
I simply apply the F-test.  But I do not want to assume that the
distributions were derived from normal populations.

I've searched and searched, but can't seem to find a clear explanation of
what is the appropriate replacement test (for the F test) for two non-normal
distributions.  Can anyone help?  Why is there so much discussion about
U-MannWhitney and other non-parametric tests that seem to focus more on
T-test replacements.  At least that is what it seems like from my limited
perspective.

Thanks,
Jay


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