I would like to determine whether two samples have the same
distribution form, despite having means and variances that are known
(and expected) to be different. Before performing a
Kolmogorov-Smirnov test, is it necessary to transform the two samples
so they have a common mean? A common variance? I'm inclined to use
z-scores so that any difference detected by ksmirnov is attributable
to a difference in form, and not to a difference in mean or variance,
but I'm not sure this is right.
Thanks
Zachary
--
Zachary Neal, PhD
Department of Sociology
Michigan State University
zpneal@msu.edu
http://www.msu.edu/~zpneal
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