- file 96refreg.html ->
REFs, non-nested models (1996).
Regression, non-nested models
=====================Raymond Liedka, 10 Feb 1996========ssc
Message-ID:
From: "Raymond V. Liedka"
Subject: Re: Question about a regression hypothesis
On Wed, 7 Feb 1996, Michael Cohen wrote:
> A colleague has asked me to pose this question to the list:
> Does anyone know the appropriate test for testing the following?
> We have two regression models:
>
> Y = b0 + b1 X + e
> Y = b0' + b1' X + b2 Z + e'
> ...
> The hypothesis of interest is H0: b1 = b1'
American Journal of Sociology, March 1995, Volume 100, no 5
"Statistical Methods for Comparing Regression Coefficients between
Models" by Clifford C. Clogg, Eva Petkova, and Adamantios Haritou,
pp. 1261-1293.
"The Impact of Random Predictors on Comparisons of Coefficients between
Models: Comment on Clogg, Petkova, and Haritou." by Paul D. Allison, pp.
1294-1304.
"Reply to Allison: More on Comparing Regression Coefficients." by
Clifford C. Clogg and Eva Petkova with the assistance of Tzuwei Cheng,
pp. 1305-1312.
================Bob Wheeler, 19 Apr 1996========ssc
Message-ID: <31778DCF.6C81@echip.com>
From: Bob Wheeler
Subject: Re: Cox test comparing models
> From: "Barry W. Brown"
> In article <4kkj3s$ci5@mark.ucdavis.edu>,
> Mitch Watnik wrote:
> >Steve Buyske (buyske@eden.rutgers.edu) wrote:
> >
> >: I recently came across a reference to Cox's test for comparing
> >: two non-nested models, but I can't find any reference to, or
> >: explanation of, the actual test. The context was in comparing
> >: two logistic models, one with explanatory variables A & B, the
> >: other with explanatory variables B & C. The dependent variable
> >: is the same in both cases.
> >
> >You might start with his paper in the Fourth Berkeley Symposium (1961).
> >There is also a 1962 follow-up paper (I don't remember off-hand where it
> >is located).
> >--Mitch
>
> Try section 9.22 page 327, "Choice between Models" in
> Cox, D.R. and Hinkley, D.V. "Theoretical Statistics" (1986) Chapman and
> Hall, NY. ISBN 0 412 16160 5.
In addition, try searching under "Separable hypotheses."
There is a considerable literature.
Bob Wheeler, ECHIP, Inc.
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