Least-squares fitting when both variables contain errors: Pitfalls and possibilities

Details Least-squares fitting when both variables contain errors: Pitfalls and possibilities Least-squares fitting when both variables contain errors: Pitfalls and possibilities

Jan 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992amjph..60...66m&link_type=abstract

American Journal of Physics, Volume 60, Issue 1, pp. 66-73 (1992).

Physics

17

Interpolation, Curve Fitting, Algorithms For Functional Approximation

Scientific paper

Least-squares fitting is reviewed, in tutorial form, when both variables contain significant errors. Various error models are described; corresponding appropriate weighting is discussed; and the interpretation of weighting is clarified by a physically intuitive description and by graphical results. Resources in the literature on least-squares fitting that are suitable for physics and astronomy students are reviewed. Algorithms for straight-line fitting, indicate practical solution methods, are summarized and numerical comparisons are given. Also described are several readily available computer programs that allow fitting for both straight-line and nonlinear situations and that are appropriate for both research and teaching applications.

Affiliated with

Also associated with

No associations

Rating

Least-squares fitting when both variables contain errors: Pitfalls and possibilities does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Least-squares fitting when both variables contain errors: Pitfalls and possibilities, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Least-squares fitting when both variables contain errors: Pitfalls and possibilities will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-934458