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st: RE: Re: Kenel density function


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Re: Kenel density function
Date   Tue, 29 Jun 2010 14:54:03 +0100

You should tell us more about the design. Do these come in groups of six, or are the six distributions entirely uncoupled from each other? It sounds as if that information has been omitted from what you have; if so, retrieving it is the first priority. 

Either way, trying to reduce all this to Kolmogorov-Smirnov looks severely problematic to me. As the data are already binned, kernel estimation also looks suspect. 

Nick 
n.j.cox@durham.ac.uk 

Janet Hill

I would be grateful for some advice. I have some data from an experiment in which the difference between a cast and the master model has been measured. The data consists of the frequency of difference from -8 to + 8 mm in steps of 0.25, and 6 different casts were made. Kernel density plots show obvious differences between the casts but is there any way I can formally test this - or am I missing an obvious way to compare the frequency distributions/ I had thought of using Kolmogorov-Smirnov followed by multiple comparisons but I was not sure how applicable it would be.

I am using Stata 11.1

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