Study on the Model and Errors in Data Fitting

DOI

10.2991/iemb-14.2014.4How to use a DOI?

Keywords

Least square method; curve fitting; Matlab; accuracy;

Abstract

To linearize the several commonly nonlinear function by using variable substitution method, using the least square method and the total least squares method to observed curve fitting data after linearized the function, results show that the fitting precision of curve function that use the total least squares method is higher than that of the least square method. Therefore, the fitting error is very important, and the least square method for curve fitting is the most commonly used method, because of its more accurate, practical and widely used.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Cao Ying
PY  - 2014/09
DA  - 2014/09
TI  - Study on the Model and Errors in Data Fitting
BT  - Proceedings of the 2014 Conference on Informatisation in Education, Management and Business
PB  - Atlantis Press
SP  - 12
EP  - 15
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-14.2014.4
DO  - 10.2991/iemb-14.2014.4
ID  - Ying2014/09
ER  -