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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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書誌詳細
主要な著者:	Adilah Abdul Ghapor,, Yong Zulina Zubairi,, Al Mamun, Sayed Md., Siti Fatimah Hassan,, Elayaraja Aruchunan,, Nurkhairany Amyra Mokhtar,
フォーマット:	論文
言語:	English
出版事項:	Penerbit Universiti Kebangsaan Malaysia 2023
オンライン･アクセス:	http://journalarticle.ukm.my/22165/1/SL%2020.pdf http://journalarticle.ukm.my/22165/ http://www.ukm.my/jsm/index.html
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