The Method of Least Squares Curve Fitting
Xin Wang
Abstract
Xin Wang
Abstract
The method of least squares curve fitting is used proverbially for the test data processing, etc. It is inequitable to process physical parameters by some usual methods of curve fitting. Those methods are performed only by minimizing the fitting error of one physical parameter, but do not take other parameters into account. The method of least squares curve fitting processes each physical parameter equally. The simulation also proves that this method of least squares curve fitting method is right and effective.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The method of least squares curve fitting is used proverbially for the test data processing, etc. It is inequitable to process physical parameters by some usual methods of curve fitting. Those methods are performed only by minimizing the fitting error of one physical parameter, but do not take other parameters into account. The method of least squares curve fitting processes each physical parameter equally. The simulation also proves that this method of least squares curve fitting method is right and effective.
Key concepts: Curve fitting, Least-squares function approximation, Generalized least squares, Mathematics, Non-linear least squares, Applied mathematics, Statistics, Computer science