A clustering approach to detect multiple outliers in linear functional relationship model for circular data

DOI10.1080/02664763.2017.1342779OpenAlexW2731053746MaRDI QIDQ5035750

Abdul Ghapor Hussin, Nurkhairany Amyra Mokhtar, Yong Zulina Zubairi

Publication date: 22 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2017.1342779

zbMATH Keywords

clusteringlinear functional relationship modeloutliers detectionwind datacircular variables

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• fda (R)

Cites Work

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• A clustering algorithm for identifying multiple outliers in linear regression.
• Functional data analysis
• Topics in Circular Statistics
• Circular regression
• Detection of outliers in simple circular regression models using the mean circular error statistic

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