Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Mean direction is a good measure to estimate circular location parameter in univariate circular data. However, it is bias and cause misleading when the circular data has some outliers, especially with increasing ratio of outliers. Trimmed mean is one of robust method to estimate location parameter. Therefore in this study, it is focused to find a robust formula for trimming the circular data. This proposed method is compared with mean direction, median direction and M estimator for clean and contaminated data. Results of simulation study and real data prove that trimmed mean direction is very successful and the best among them.
How to cite this article:
Habshah Midi, Ehab A. Mahmood, Abdul Ghapor Hussin and Jayanthi Arasan. Robust Trimmed Mean Direction to Estimate Circular Location
Parameter in the Presence of Outliers.
DOI: https://doi.org/10.36478/jeasci.2018.6612.6615
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.6612.6615