Detection of outliers in circular regression model via DFBETAc IS statistic

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Detection of outliers in circular regression model via DFBETAc IS statistic

The outlier issues in circular regression models have recently received much attention. The presence of outliers may cause the sign and magnitude of regression coefficients to vary, resulting in inaccurate model development and incorrect prediction. Many methods for detecting outliers in a circular...

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Bibliographic Details
Main Authors:	Intan Mastura Ramlee, Safwati Ibrahim, Leow, Wai Zhe, Mohd Irwan Yusoff
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:	http://journalarticle.ukm.my/23927/ http://journalarticle.ukm.my/23927/1/SE%2016.pdf

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