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RE: st: REML with non-normally distributed dependent Variable


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: REML with non-normally distributed dependent Variable
Date   Wed, 3 Jun 2009 15:19:50 +0100

In absolute terms the fit looks pretty lousy to me! However, that may
not matter at all. You are looking at the marginal distribution of the
response. Where does it say that matters for that what you have in mind?


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

Christian Weiss

Thank you for your answer!

I already log-transformed the variable, yielding the following result:

http://yfrog.com/11graphpp

...looks relatively normally distributed to me.

Unfortunately, swilk and swfrancia still tell me that it's not
normally distributed...

On Tue, Jun 2, 2009 at 10:04 PM, Dan MacNulty <macn0007@umn.edu> wrote:
> Why not transform your dependent variable (e.g, log-transform) to
> approximate a normal distribution? Dan
>
> Christian Weiss wrote:

>> I am working with a random-intercept model using REML. As it turned
>> out my dependent variable is not normally distributed.
>> If I recall it correctly, one of the assumptions of ML is
multivariate
>> normality. Do you have any advice what to do or to consider?

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