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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2019
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| Subjects: | |
| 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 |