A simple method for processing data with least square method
Chunyan Wang, Liqun Qi, yongxiang Chen, guangning Pang · 14th Conference on Education and Training in Optics and Photonics: ETOP 2017 · 2017
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.