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Article #668Re: Robust chi-squared routine?
From: Herman Rubin
Date: Mon, 21 Dec 1992 17:17
Date: Mon, 21 Dec 1992 17:17
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In article <CTHOMBOR.92Dec18122658@tern.lcs.mit.edu> cthombor@theory.lcs.mit.edu (Clark D. Thomborson) writes:
> From: mbk@gibbs.ucsd.edu (Matt Kennel)
> Is a chisquared test appropriate for a situation where the
> number of bins is very large, but the expected value per bin is
> quite a bit smaller than 1?
I would raise the question of whether the chi-squared test is ever a
good procedure to use if there is a large number of bins. I do not
mean the chi-squared approximation, but using that test itself. One
should choose the test according to the evaluation of the alternatives,
and there are usually far more powerful ones.
--
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
Phone: (317)494-6054
hrubin@snap.stat.purdue.edu (Internet, bitnet)
{purdue,pur-ee}!snap.stat!hrubin(UUCP)
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Newsgroups: sci.math.stat Path: arc1-ca.pugleaf.net!sparky!uunet!zaphod.mps.ohio-state.edu!magnus.acs.ohio-state.edu!usenet.ins.cwru.edu!agate!ames!purdue!mentor.cc.purdue.edu!pop.stat.purdue.edu!hrubin From: hrubin@pop.stat.purdue.edu (Herman Rubin) Subject: Re: Robust chi-squared routine? Message-ID: <BzMDCz.JrM@mentor.cc.purdue.edu> Sender: news@mentor.cc.purdue.edu (USENET News) Organization: Purdue University Statistics Department References: <1g8evvINNqc0@network.ucsd.edu> <CTHOMBOR.92Dec18122658@tern.lcs.mit.edu> Date: Mon, 21 Dec 1992 17:17:22 GMT Lines: 18