Identifying multiple outliers in linear functional relationship model using a robust clustering method

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Identifying multiple outliers in linear functional relationship model using a robust clustering method

Outliers are some observation points outside the usual pattern of the other observations. It is essential to detect outliers as anomalous observations can affect the inference made in the analysis. In this study, we propose an efficient clustering procedure to identify multiple outliers in the linea...

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Bibliographic Details
Main Authors:	Adilah Abdul Ghapor, Yong Zulina Zubairi, Al Mamun, Sayed Md., Siti Fatimah Hassan, Elayaraja Aruchunan, Nurkhairany Amyra Mokhtar
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:	http://journalarticle.ukm.my/22165/ http://journalarticle.ukm.my/22165/1/SL%2020.pdf

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