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Robust estimation of circular parameters


Citation

Mahmood, Ehab A. and Midi, Habshah and Hussin, Abdul Ghapor (2016) Robust estimation of circular parameters. Research Journal of Applied Science, 11 (9). pp. 870-873. ISSN 1815-932X; ESSN: 1993-6079

Abstract

Motorcycle has been one of the vital modes of transportation worldwide. It is quite difficult to identify the risk Researchers interest to develop methods of robust estimation. These methods can be used when the data have outliers or not satisfy the condition of classical methods. However, few researchers suggest robust estimation of circular data. In this paper, we propose robust estimation of circular variance and mean resultant length. The proposed robust estimation depends on extending trimmed procedure by find robust formula for trimming. Simulation results and practical example show that the proposed procedure for the circular variance and mean resultant length are better than classical methods for different ratios of outliers.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
DOI Number: https://doi.org/10.36478/rjasci.2016.870.873
Publisher: Medwell Journals
Keywords: Outliers; Robust statistics; Circular variance; Mean resultant length, Resultant; Length
Depositing User: Ms. Ainur Aqidah Hamzah
Date Deposited: 18 Mar 2022 07:05
Last Modified: 18 Mar 2022 07:05
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.36478/rjasci.2016.870.873
URI: http://psasir.upm.edu.my/id/eprint/52910
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