🚀 go-pugleaf

magdi@uxh.cso.uiuc.edu (Magdi N Azer) writes:
: 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.
: 
: 	Try the book "Data Reduction and Error Analysis for the Physical
: Sciences"  by Philip R Bevington.  It was printed in 1969, and just this
: year, one of his colleagues updated the book.  The 1992 version comes with
: a disk of the source code in Pascal.  Both versions have the Fortran code.
: I just used the book to write a nonlinear least sqaures program using the
: Levenberg-Marquardt algorithm.  Works great!
: 

Also look at odrpack (orthogonal distance regression package) from
netlib.  It also uses a Levenberg-Marquardt algorithm for the 
regression.

--
Chuck Hales
DuPont Company, Central R&D Dept., Scientific Computing Div. 
E320/103, P.O. Box 80320, Wilmington, DE   19880-0320
Internet: halesch@esvax.dnet.dupont.com   phone: (302) 695-4858
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