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From: Tom Nolan <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Date: Thursday, December 28, 2000 10:41 PM
Subject: RE: AI-GEOSTATS: In need of some help.
>Harland,
>
>You could use the exact form of the Wilcoxon Rank Sum test, which is
>appropriate for sample sizes
ED]
> Sent: Tuesday, December 19, 2000 12:08 PM
> To: [EMAIL PROTECTED]
> Subject: AI-GEOSTATS: In need of some help.
>
>
>
> Hi Folks!
> This is my first post to this list. Hope it is not out of place.
> I need a
> way to compare two small populations (very small sample s
Mann-Whitney U test does require that the distributions of two populations
are similar. It is distribution free but not assumption free.
Resampling (or randomization) methods should work. Basically, you will mix
the two samples, and then randomly separate them into two groups, and
calculate t
You can use nonparametric tests like bootstrap or permutation
(randomization) tests: they give better results with nonnormal and small
samples. they can be used for univariate or multivariate tests.
The permutation test approximate the distribution of a statistic under the
H0 hypothesis (no diffe
(0)141 79 68 02http://www.invs.sante.fr
-Message d'origine-
De: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED]]
Date: mardi 19 décembre 2000 18:08
À: [EMAIL PROTECTED]
Objet: AI-GEOSTATS: In need of some help.
Hi Folks!
This is my first post to this list. Hope it
> I need a way to compare two small populations (very small sample sizes...
>5 and 6... both of which lack normality). I would like to compare them
>based on 3-5 parameters. Because of the above limitations I have given up
>on the validity of a t-test (which assumes a normal distribution and
>la
Hi Folks!
This is my first post to this list. Hope it is not out of place. I need a
way to compare two small populations (very small sample sizes..5 and 6both
of which lack normality). I would like to compare them based on 3-5 parameters.
Because of the above limitations I have given up o
