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- Path: sparky!uunet!olivea!hal.com!decwrl!purdue!mentor.cc.purdue.edu!pop.stat.purdue.edu!hrubin
- From: hrubin@pop.stat.purdue.edu (Herman Rubin)
- Newsgroups: sci.math.num-analysis
- Subject: Re: REQUEST: lst sqrs withs errors in both X and Y
- Message-ID: <56877@mentor.cc.purdue.edu>
- Date: 14 Aug 92 22:03:21 GMT
- References: <1992Aug4.135256.11081@gov.on.ca>
- Sender: news@mentor.cc.purdue.edu
- Organization: Purdue University Statistics Department
- Lines: 14
-
- In article <1992Aug4.135256.11081@gov.on.ca> diamong@gov.on.ca (Gerald Diamond) writes:
- >I am looking for a good reference (or references) for
- >a least-squares type algorithm which treats both X and Y as
- >having errors rather than the usual case of assuming all the
- >errors are in one variable.
-
- If you are looking for something which has a meaning from the
- standpoint of statistical inference, there are things which can
- be done, but not simply.
- --
- Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
- Phone: (317)494-6054
- hrubin@pop.stat.purdue.edu (Internet, bitnet)
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-