Research Journal of Applied Sciences
ISSN: Online 1993-6079ISSN: Print 1815-932x
Abstract
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 study, 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.
How to cite this article:
Ehab A. Mahmood, Habshah Midi and Abdul Ghapor Hussin. Robust Estimation of Circular Parameters.
DOI: https://doi.org/10.36478/rjasci.2016.870.873
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2016.870.873