seems, as you have said, depends what you want to do with it

if there is considerable overlap, then whatever distance you use will have 
some of both distributions included ... if there is essentially no overlap 
... then any pair of values ... one from each ...will reflect a real difference

of course, if there is a small difference in means but very large sds ... 
that is one thing wheres ... if there were the same small differences in 
means but, minuscule sds ... that would be another thing

the simple thing would be to use the mean difference but, that really does 
not reflect if there is any overlap between the two and, that seems to be 
part of the issue

At 07:28 PM 2/6/02 +0000, Francis Dermot Sweeney wrote:
>If I have two normal distributions N(m1, s1) and N(m2, s2), what is a
>good measure of the distance between them? I was thinking of something
>like a K-S distance like max|phi1-phi2|. I know it probably depende on
>what I want it for, or what exactly I mean by distance, but any ideas
>would be helpful.
>
>Thanks,
>Francis.
>
>--
>________________________________________
>Francis Sweeney
>Dept. of Aero/Astro
>Stanford U.
>
>
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Dennis Roberts, 208 Cedar Bldg., University Park PA 16802
<Emailto: [EMAIL PROTECTED]>
WWW: http://roberts.ed.psu.edu/users/droberts/drober~1.htm
AC 8148632401



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