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- 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
-
- 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
-