lognormal parameters for Kol-Smir test
- Subject: lognormal parameters for Kol-Smir test
- From: Ryan Fitzgerald <ryan.fitzgerald@nist.gov>
- Date: Wed, 16 Jan 2008 16:14:37 -0500
- Content-Type: text/plain; charset="us-ascii"; format=flowed
Hi.
I am using the kolmogorov-smirnov goodness of fit test to see if my
data are lognormal. I first get parameter estimates from maximum
likelihood (2 parameter lognormal) or PPCC (3 parameter
lognormal). The question is, how do I specify the shape parameter
for kol-smir? According to the Dataplot help page, the parameter is
called "SD". But I find that the kol-smir test statistic is the same
regardless of what I put for SD. It is only sensitive to scale and
location (ksloc and ksscale respectively).
When I use efits, I get a smaller test value, so presumably it is
doing something I'm not. I've tried using pieces of the efits code,
but haven't fixed the problem. I appreciate any help you can offer.
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