Detection of different outlier scenarios in circular regression model using single-linkage method
Outliers are the set of data that are significantly deviates or dissimilar from the rest of the data set. In circular regression model, the existence of outliers are well known to give a large effect on the parameter estimates and inferences. In this study, we proposed clustering-based method using...
Main Authors: | N. M. F., Di, Siti Zanariah, Satari, Roslinazairimah, Zakaria |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IOP Publishing
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/22307/ http://umpir.ump.edu.my/id/eprint/22307/ http://umpir.ump.edu.my/id/eprint/22307/1/Detection%20of%20different%20outlier%20scenarios.pdf |
Similar Items
-
Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model
by: Siti Zanariah, Satari, et al.
Published: (2018) -
Outlier detection in circular regression model using minimum spanning tree method
by: Nur Faraidah, Muhammad Di, et al.
Published: (2019) -
The Multiple Outliers Detection using Agglomerative Hierarchical Methods in Circular Regression Model
by: Siti Zanariah, Satari, et al.
Published: (2017) -
Outlier detection in a circular regression model
by: Adzhar Rambli,, et al.
Published: (2015) -
Parameter estimation and outlier detection for some types of circular model
by: Siti Zanariah, Satari
Published: (2015)