Article View: sci.math.stat
Article #457Goodness of Fit with Zero Degrees of Freedom
From: Chuck Haas
Date: Thu, 08 Oct 1992 14:49
Date: Thu, 08 Oct 1992 14:49
23 lines
1514 bytes
1514 bytes
Suppose I have a set of categorical data. trait present trait absent group totals group a a1 a0 at group b b1 b0 bt ... etc. The group totals should be regarded as fixed. I fit a model to this data. If the model has k parameters and there are m groups, then I know that I could do a goodness of fit test (e.g., Fisher chi-square or likelihood ratio) and compare to the chi-square distribution with m-k degrees of freedom. Suppose, however, that I fit a model with k=m parameters. How do I then test goodness of fit. In other words, how much slippage should be allowed before I reject the null hypothesis of model adequacy (conditional on the parameters)? Charles N. Haas Professor, Environmental Engineering Drexel University, Philadelphia PA 19104 ====================================== CHaas@COE.Drexel.Edu
Technical Details
Message-ID:
<1992Oct8.144919.21524@cbis.ece.drexel.edu>Path:
arc1-ca.pugleaf.net!sparky!uunet!gossip.pyramid.com!olivea!sgigate!sgiblab!darwin.sura.net!jvnc.net!netnews.upenn.edu!netnews.noc.drexel.edu!coe.drexel.edu!n1-24-215-coe-abbotts.coe.drexel.edu!chaasShow Full Headers
Complete Article Headers
Path: arc1-ca.pugleaf.net!sparky!uunet!gossip.pyramid.com!olivea!sgigate!sgiblab!darwin.sura.net!jvnc.net!netnews.upenn.edu!netnews.noc.drexel.edu!coe.drexel.edu!n1-24-215-coe-abbotts.coe.drexel.edu!chaas From: chaas@coe.drexel.edu (Chuck Haas) Newsgroups: sci.math.stat Subject: Goodness of Fit with Zero Degrees of Freedom Message-ID: <1992Oct8.144919.21524@cbis.ece.drexel.edu> Date: 8 Oct 92 14:49:19 GMT Sender: news@cbis.ece.drexel.edu Organization: Drexel University Lines: 23 X-Xxmessage-Id: <A6F9C2718C0118D7@n1-24-215-coe-abbotts.coe.drexel.edu> X-Xxdate: Thu, 8 Oct 92 02:48:17 GMT X-Useragent: Nuntius v1.1.1d12