Outlier Detection in Multiple Circular Regression Model using DFFITc Statistic-Reference-Cited by-同舟云学术

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Outlier Detection in Multiple Circular Regression Model using DFFITc Statistic

Published:2019-07-31 Issue:7 Volume:48 Page:1557-1563
ISSN:0126-6039
Container-title:Sains Malaysiana
language:
Short-container-title:JSM

Author:

Ahmed Alkasadi Najla,Ibrahim Safwati,Abuzaid Ali H.M.,Yusoff Mohd Irwan,Hamid Hashibah,Leow Wai Zhe,Abd Razak Amelia Bt

Publisher

Penerbit Universiti Kebangsaan Malaysia (UKM Press)

Subject

Multidisciplinary

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of Outliers in Circular Regression Model Via DFBETAcIS Statistic;Sains Malaysiana;2024-04-30

2. Outlier detection method in multiple circular regression model via robust circular distance;AIP Conference Proceedings;2024

3. Procedure for outlier detection in a circular regression model using resultant length;AIP Conference Proceedings;2024

4. Comparative study of outlier detection methods on multivariate eye data via multiple circular regression model;AIP Conference Proceedings;2024

5. Prediction of KLCI Index Through Economic LASSO Regression Model and Model Averaging;Pakistan Journal of Statistics and Operation Research;2023-03-06

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