Article View: sci.math.stat
Article #461Re: Goodness of Fit with Zero Degrees of Freedom
From: USENET News System
Date: Thu, 08 Oct 1992 22:37
Date: Thu, 08 Oct 1992 22:37
18 lines
1203 bytes
1203 bytes
In article <1b2156INNnnf@roundup.crhc.uiuc.edu>, hougen@vision.csl.uiuc.edu (Darrell Roy Hougen) writes: > > chaas@coe.drexel.edu (Chuck Haas) writes: > > > *>Suppose I have a set of categorical 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. > > I'm not sure I understand your problem, but shouldn't the number of > degrees of freedom be equal to the number of data rather than the > number of categories? > No, however the parameters should be estimated from the _grouped_ data. See Conover "Non-parametric Statistics" (or some-such title)
Technical Details
Message-ID:
<1992Oct8.223756.6184@massey.ac.nz>Path:
arc1-ca.pugleaf.net!sparky!uunet!comp.vuw.ac.nz!cc-server4.massey.ac.nz!TMoore@massey.ac.nzReferences:
<1992Oct8.144919.21524@cbis.ece.drexel.edu> <1b2156INNnnf@roundup.crhc.uiuc.edu>Show Full Headers
Complete Article Headers
Newsgroups: sci.math.stat Path: arc1-ca.pugleaf.net!sparky!uunet!comp.vuw.ac.nz!cc-server4.massey.ac.nz!TMoore@massey.ac.nz From: news@massey.ac.nz (USENET News System) Subject: Re: Goodness of Fit with Zero Degrees of Freedom Message-ID: <1992Oct8.223756.6184@massey.ac.nz> Organization: Massey University References: <1992Oct8.144919.21524@cbis.ece.drexel.edu> <1b2156INNnnf@roundup.crhc.uiuc.edu> Date: Thu, 8 Oct 92 22:37:56 GMT Lines: 18