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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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Penerbit Universiti Kebangsaan Malaysia
2023
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| 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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