A new test of discordancy in cylindrical data

Sadikon, Nurul Hidayah and Ibrahim, Adriana Irawati Nur and Mohamed, Ibrahim and Shimizu, Kunio (2019) A new test of discordancy in cylindrical data. Communications in Statistics - Simulation and Computation, 48 (8). pp. 2512-2522. ISSN 0361-0918

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Official URL: https://doi.org/10.1080/03610918.2018.1458131

Abstract

Cylindrical data are bivariate data from the combination of circular and linear variables. However, up to now no work has been done on the detection of outlier in cylindrical data. We introduce a definition of outlier for cylindrical data and present a new test of discordancy to detect outlier in this type of data, based on the k-nearest neighbor’s distance. Cut-off points of the new test statistic based on the Johnson-Wehrly distribution are calculated and its performance is examined using simulation. A practical example is presented using wind speed and wind direction data obtained from the Malaysian Meteorological Department. © 2018, © 2018 Taylor & Francis Group, LLC.

Item Type: Article
Uncontrolled Keywords: Cylindrical data; k-nearest neighbor’s distance; outlier
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Faculty of Science > Institute of Mathematical Sciences
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 28 Jan 2020 02:47
Last Modified: 28 Jan 2020 02:47
URI: http://eprints.um.edu.my/id/eprint/23604

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