Message-ID: <4.2.0.58.20021218161330.00b31688@162.38.183.200>
Date: 2002-12-18T16:54:40Z
From: Emmanuel Paradis
Subject: weibull test
In-Reply-To: <3E004B8D.74894471@int-evry.fr>
At 11:18 18/12/2002 +0100, vous avez ?crit:
>Hello
>What is the appropriate method to test if a given distribution is a
>weibull
>thank you
>meriema
>
>email
>meriema.belaidouni at int-evry.fr
You can use a Kolmogorov-Smirnov test. See ?ks.test where there is an
example with a gamma distribution. You will probably need to estimate the
parameters of the Weibull which you can do with fitdistr() in package MASS.
However, I don't know if the distribution of the KS test will be the same
if some parameters are estimated from the data or not (apparently,
ks.test() doesn't do any correction). Someone on the list can help here.
Emmanuel Paradis