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...

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Main Authors:	N. M. F., Di, Siti Zanariah, Satari, Roslinazairimah, Zakaria
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2017
Subjects:	QA Mathematics
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

id	ump-22307
recordtype	eprints
spelling	ump-223072018-10-03T04:06:14Z http://umpir.ump.edu.my/id/eprint/22307/ Detection of different outlier scenarios in circular regression model using single-linkage method N. M. F., Di Siti Zanariah, Satari Roslinazairimah, Zakaria QA Mathematics 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 single linkage to detect multiple outliers. Single-linkage is one of several clustering methods, where the distance between two clusters is determined by a single pair element that are closest to each other. We examined two outlier scenarios with a certain degree of contamination. The performance of proposed method on different outlier scenarios are compared and the best method for each outlier scenario is chosen IOP Publishing 2017 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/22307/1/Detection%20of%20different%20outlier%20scenarios.pdf N. M. F., Di and Siti Zanariah, Satari and Roslinazairimah, Zakaria (2017) Detection of different outlier scenarios in circular regression model using single-linkage method. In: Journal of Physics: Conference Series, 1st International Conference on Applied & Industrial Mathematics and Statistics 2017 (ICoAIMS 2017), 8-10 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-5., 890. ISSN 1742-6588 (print); 1742-6596 (online) https://doi.org/10.1088/1742-6596/890/1/012127
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics N. M. F., Di Siti Zanariah, Satari Roslinazairimah, Zakaria Detection of different outlier scenarios in circular regression model using single-linkage method
description	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 single linkage to detect multiple outliers. Single-linkage is one of several clustering methods, where the distance between two clusters is determined by a single pair element that are closest to each other. We examined two outlier scenarios with a certain degree of contamination. The performance of proposed method on different outlier scenarios are compared and the best method for each outlier scenario is chosen
format	Conference or Workshop Item
author	N. M. F., Di Siti Zanariah, Satari Roslinazairimah, Zakaria
author_facet	N. M. F., Di Siti Zanariah, Satari Roslinazairimah, Zakaria
author_sort	N. M. F., Di
title	Detection of different outlier scenarios in circular regression model using single-linkage method
title_short	Detection of different outlier scenarios in circular regression model using single-linkage method
title_full	Detection of different outlier scenarios in circular regression model using single-linkage method
title_fullStr	Detection of different outlier scenarios in circular regression model using single-linkage method
title_full_unstemmed	Detection of different outlier scenarios in circular regression model using single-linkage method
title_sort	detection of different outlier scenarios in circular regression model using single-linkage method
publisher	IOP Publishing
publishDate	2017
url	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
first_indexed	2023-09-18T22:33:08Z
last_indexed	2023-09-18T22:33:08Z
_version_	1777416418980003840

Detection of different outlier scenarios in circular regression model using single-linkage method

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