The best robust estimation method to determine local surface

7Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Geoid/quasi-geoid modelling in a local (small) area is often made with polynomials. The optimal version of a polynomial is found by testing its successive versions using different statistical parameters, i.e. with different degree and number of coefficients. In this publication, the authors presented 3 approaches to search for an optimal version of the polynomial. Two of them were based on one of the robust estimation methods, i.e.The Danish method. Therefore, the question arises whether this method is suitable for this type of work. The publication analyses 6 different methods of robust estimation and the method of least squares. The control parameters of the methods were selected in such a way as to obtain a comparable accuracy of fitting the polynomial into the points each time. Then, the actual accuracy obtained for each of them was compared. The result of the study is a ranking of methods in terms of the most accurate fitting results.

Cite

CITATION STYLE

APA

Borowski, L., & Banas, M. (2019). The best robust estimation method to determine local surface. Baltic Journal of Modern Computing, 7(4), 525–540. https://doi.org/10.22364/bjmc.2019.7.4.06

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free