TY  - JOUR
T1  - Robust Estimation of Circular Parameters
AU - Mahmood, Ehab A. AU - Midi, Habshah AU - Hussin, Abdul Ghapor 
JO  - Research Journal of Applied Sciences
VL  - 11
IS  - 9
SP  - 870
EP  - 873
PY  - 2016
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2016.870.873
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2016.870.873
KW  - Outliers
KW  -robust statistics
KW  -circular variance
KW  -mean resultant length
KW  -resultant
KW  -length
AB  - 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.
ER  -