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Article #663Re: Robust chi-squared routine?
From: Chuck Haas
Date: Fri, 11 Dec 1992 14:51
Date: Fri, 11 Dec 1992 14:51
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Under conditions that you described, certainly except for the far tails, the distribution should be reasonably well approximated by a normal distribution. Perhaps someone else has a reference to the numerical conditions under which such approximation is "sufficiently close". Charles N. Haas Professor, Environmental Engineering Drexel University, Philadelphia PA 19104 ====================================== CHaas@COE.Drexel.Edu
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Path: arc1-ca.pugleaf.net!sparky!uunet!ornl!utkcs2!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: Re: Robust chi-squared routine? Message-ID: <1992Dec11.145159.6598@cbis.ece.drexel.edu> Date: 11 Dec 92 14:51:59 GMT References: <1g8evvINNqc0@network.ucsd.edu> Sender: news@cbis.ece.drexel.edu Organization: Drexel University Lines: 13 X-Xxmessage-Id: <A74E162A1B0118D7@n1-24-215-coe-abbotts.coe.drexel.edu> X-Xxdate: Fri, 11 Dec 92 01:55:54 GMT X-Useragent: Nuntius v1.1.1d13