2004Journal of Xinjiang Vocational UniversityRequires access

The Method of Least Squares Curve Fitting

Xin Wang

Open publisher page 2 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Curve fitting, Least-squares function approximation, Generalized least squares, Mathematics, Non-linear least squares, Applied mathematics, Statistics, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
The Method of Least Squares Curve Fitting — Research Paper | ScholarLens