Article View: sci.math.stat
Article #306Re: Least Square Errors
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Date: Wed, 09 Sep 1992 21:46
Date: Wed, 09 Sep 1992 21:46
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In article <1992Sep9.150541.15735@cbfsb.cb.att.com>, rizzo@cbnewsf.cb.att.com (anthony.r.rizzo) asks about the propriety of constraining a fitted quartic to pass through a given point: > This sort of thing is often done in linear regression, usually to make the line pass through the origin. There is no objection to doing this, but it makes the fit slightly worse elsewhere. I have greater reservations about using a quartic. The higher degree the polynomial, the more unstable it is. I hope you fitted it by using orthogonal polynomials which helps with numerical stability. I don't say it is wrong to use high degree polynomials, just be careful; draw and examine residual plots etc (you should do this anyway).
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Path: arc1-ca.pugleaf.net!sparky!uunet!wupost!waikato.ac.nz!comp.vuw.ac.nz!cc-server4.massey.ac.nz!TMoore@massey.ac.nz Newsgroups: sci.math.stat Subject: Re: Least Square Errors Message-ID: <1992Sep9.214628.19510@massey.ac.nz> From: news@massey.ac.nz (USENET News System) Date: Wed, 9 Sep 92 21:46:28 GMT References: <1992Sep9.150541.15735@cbfsb.cb.att.com> Organization: Massey University Lines: 14