Citation
Midi, Habshah and Mahmood, Ehab A. and Hussin, Abdul Ghapor and Arasan, Jayanthi
(2018)
Robust trimmed mean direction to estimate circular location parameter in the presence of outliers.
Journal of Engineering and Applied Sciences, 13 (16).
6612 - 6615.
ISSN 1818-7803; ESSN: 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.
Download File
Official URL or Download Paper: https://medwelljournals.com/abstract/?doi=jeasci.2...
|
Additional Metadata
Item Type: | Article |
---|---|
Divisions: | Faculty of Science Institute for Mathematical Research |
DOI Number: | https://doi.org/10.36478/jeasci.2018.6612.6615 |
Publisher: | Medwell Publishing |
Keywords: | Trimmed mean direction; Mean direction; Median direction; Circular distance; M estimator |
Depositing User: | Ms. Nida Hidayati Ghazali |
Date Deposited: | 06 May 2020 18:05 |
Last Modified: | 06 May 2020 18:05 |
Altmetrics: | https://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.36478/jeasci.2018.6612.6615 |
URI: | http://psasir.upm.edu.my/id/eprint/73816 |
Statistic Details: | View Download Statistic |
Actions (login required)
View Item |