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Article #304Re: Least Square Errors
From: Chuck Haas
Date: Wed, 09 Sep 1992 19:24
Date: Wed, 09 Sep 1992 19:24
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What you propose to do is reasonable, and amounts to constrained least squares. There is a fair body of literature on constrained least squares. Your proposed method is also a degenerate case of a weighted least squares problem, in which not all dependent values are measured with the same lack of precision, and so that a poorer fit is tolerated at those more imprecisely measured points. [Don't apologize for being an engineer; I am one also -- who has heavily delved into the statistical arena] CN Haas Environmental Engineering Drexel University Philadelphia
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Path: arc1-ca.pugleaf.net!sparky!uunet!haven.umd.edu!darwin.sura.net!jvnc.net!netnews.upenn.edu!netnews.noc.drexel.edu!coe.drexel.edu!nuntius From: chaas@coe.drexel.edu (Chuck Haas) Newsgroups: sci.math.stat Subject: Re: Least Square Errors Message-ID: <1992Sep9.192431.13546@cbis.ece.drexel.edu> Date: 9 Sep 92 19:24:31 GMT References: <1992Sep9.150541.15735@cbfsb.cb.att.com> Sender: news@cbis.ece.drexel.edu Organization: Drexel University Lines: 14 X-Useragent: Nuntius v1.1b2