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Re: Determining if samples are normal
From: |
Paul Kienzle |
Subject: |
Re: Determining if samples are normal |
Date: |
Mon, 26 Sep 2005 21:13:31 -0400 |
On Sep 26, 2005, at 8:11 PM, Mike Miller wrote:
On Mon, 26 Sep 2005, Paul Kienzle wrote:
Using n=400, 60% of the triangular samples are rejected at a .1
level, but of course 10% of the normal samples are as well.
So maybe the q-q correlation method is more powerful than
Anderson-Darling in this case. In the q-q correlation method, with
n=300, we could reject 49% at the .05 level. Of course 49% is less
than 60%, but that was achieved with a smaller sample size and half
the type-1 error rate.
For n=300, I get 25% correct rejection at the 5% level compared to the
triangular distribution, so not so great.
- Paul
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- Re: Determining if samples are normal, (continued)
Re: Determining if samples are normal, Joe Koski, 2005/09/25
Re: Determining if samples are normal, Paul Kienzle, 2005/09/26
Re: Determining if samples are normal, Henry F. Mollet, 2005/09/27
Re: Determining if samples are normal, Mike Miller, 2005/09/27