Outlier detection in circular regression model using minimum spanning tree method

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Outlier detection in circular regression model using minimum spanning tree method

The existence of outliers in a circular regression model can lead to many errors, for example in inferences and parameter estimations. Therefore, this study aims to develop new algorithms that can detect outliers by using the minimum spanning tree method. The proposed algorithms are extended from Sa...

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Bibliographic Details
Main Authors:	Nur Faraidah, Muhammad Di, Siti Zanariah, Satari, Roslinazairimah, Zakaria
Format:	Conference or Workshop Item
Language:	English
Published:	Universiti Malaysia Pahang 2019
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/24692/ http://umpir.ump.edu.my/id/eprint/24692/1/29.1%20Outlier%20detection%20in%20circular%20regression%20model%20using%20minimum%20spanning%20tree%20method.pdf

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