Re: Lilliefors Test : 40 years



The Lilliefors Test tests whether a distribution is
normal, and is in no way intended to obtained
confidence
limits for the parameters if normal. Similarly, the
Kolmogorov-Smirnov tests tests for a particular
normal;
if one wants confidence intervals for the parameters,
or some of them, use the more classical tests.

A test generally should not be used to test what it
is
not intended to test. K-S tests for a particular
distribution; Lilliefors adjusts the critical values
so that the test operates correctly if the parameters
allowed to vary in testing a form are estimated.

So there is a separate set of critical values if
one is testing for a normal with known variance
and unknown mean, known mean and unknown variance,
or both unknown. Similarly for other distributions;
the asymptotics for a double-exponential with known
scale parameter can be explicitly calculated, as
the restriction on the Brownian bridge consists
in setting it to 0 at 1/2, and for the uniform it
only reduces n by the number of endpoints estimated,
but otherwise, it is hard to obtain except by
simulation.
--
This address is for information only. I do not claim
that these views
are those of the Statistics Department or of Purdue
University.
Herman Rubin, Department of Statistics, Purdue
University
hrubin@xxxxxxxxxxxxxxx Phone: (765)494-6054
FAX: (765)494-0558



If Afonso can publish a paper on Brownian bridges, then I will celebrate the paper on its anniversary in this forum 41 years from now.

Jack
.



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