Proceedings of the 2014 Conference on Informatisation in Education, Management and Business

Study on the Model and Errors in Data Fitting

Authors
Cao Ying
Corresponding Author
Cao Ying
Available Online September 2014.
DOI
https://doi.org/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.
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Proceedings
2014 Conference on Informatisation in Education, Management and Business (IEMB-14)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2014
ISBN
978-94-62520-26-4
ISSN
2352-5398
DOI
https://doi.org/10.2991/iemb-14.2014.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Cao Ying
PY  - 2014/09
DA  - 2014/09
TI  - Study on the Model and Errors in Data Fitting
BT  - 2014 Conference on Informatisation in Education, Management and Business (IEMB-14)
PB  - Atlantis Press
SP  - 12
EP  - 15
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-14.2014.4
DO  - https://doi.org/10.2991/iemb-14.2014.4
ID  - Ying2014/09
ER  -