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Proceedings Paper • Open Access • new

A simple method for processing data with least square method
Author(s): Chunyan Wang; Liqun Qi; Yongxiang Chen; Guangning Pang

Paper Abstract

The least square method is widely used in data processing and error estimation. The mathematical method has become an essential technique for parameter estimation, data processing, regression analysis and experimental data fitting, and has become a criterion tool for statistical inference. In measurement data analysis, the distribution of complex rules is usually based on the least square principle, i.e., the use of matrix to solve the final estimate and to improve its accuracy. In this paper, a new method is presented for the solution of the method which is based on algebraic computation and is relatively straightforward and easy to understand. The practicability of this method is described by a concrete example.

Paper Details

Date Published: 16 August 2017
PDF: 4 pages
Proc. SPIE 10452, 14th Conference on Education and Training in Optics and Photonics: ETOP 2017, 104523A (16 August 2017); doi: 10.1117/12.2270972
Show Author Affiliations
Chunyan Wang, Changchun Univ. of Science and Technology (China)
Liqun Qi, Changchun Univ. of Science and Technology (China)
Yongxiang Chen, Changchun Univ. of Science and Technology (China)
Guangning Pang , Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10452:
14th Conference on Education and Training in Optics and Photonics: ETOP 2017
Xu Liu; Xi-Cheng Zhang, Editor(s)

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