Detection of outliers in the complex linear regression model

The existence of outliers in any type of data affects the estimation of models’ parameters. To date there are very few literatures on outlier detection tests in circular regression and it motivated us to propose simple techniques to detect any outliers. This paper considered the complex linear regre...

Full description

Saved in:
Bibliographic Details
Main Authors: Hussin, A.G., Abuzaid, A.H., Ibrahim, A.I.N., Rambli, A.
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2013
Online Access:http://journalarticle.ukm.my/6292/1/21_A.G._Hussin.pdf
http://journalarticle.ukm.my/6292/
http://www.ukm.my/jsm/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-ukm.journal.6292
record_format eprints
spelling my-ukm.journal.62922016-12-14T06:40:45Z http://journalarticle.ukm.my/6292/ Detection of outliers in the complex linear regression model Hussin, A.G. Abuzaid, A.H. Ibrahim, A.I.N. Rambli, A. The existence of outliers in any type of data affects the estimation of models’ parameters. To date there are very few literatures on outlier detection tests in circular regression and it motivated us to propose simple techniques to detect any outliers. This paper considered the complex linear regression model to fit circular data. The complex residuals of complex linear regression model were expressed in two different ways in order to detect possible outliers. Numerical example of the wind direction data was used to illustrate the efficiency of proposed procedures. The results were very much in agreement with the results obtained by using the circular residuals of the simple regression model for circular variables. Universiti Kebangsaan Malaysia 2013-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/6292/1/21_A.G._Hussin.pdf Hussin, A.G. and Abuzaid, A.H. and Ibrahim, A.I.N. and Rambli, A. (2013) Detection of outliers in the complex linear regression model. Sains Malaysiana, 42 (6). pp. 869-874. ISSN 0126-6039 http://www.ukm.my/jsm/
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description The existence of outliers in any type of data affects the estimation of models’ parameters. To date there are very few literatures on outlier detection tests in circular regression and it motivated us to propose simple techniques to detect any outliers. This paper considered the complex linear regression model to fit circular data. The complex residuals of complex linear regression model were expressed in two different ways in order to detect possible outliers. Numerical example of the wind direction data was used to illustrate the efficiency of proposed procedures. The results were very much in agreement with the results obtained by using the circular residuals of the simple regression model for circular variables.
format Article
author Hussin, A.G.
Abuzaid, A.H.
Ibrahim, A.I.N.
Rambli, A.
spellingShingle Hussin, A.G.
Abuzaid, A.H.
Ibrahim, A.I.N.
Rambli, A.
Detection of outliers in the complex linear regression model
author_facet Hussin, A.G.
Abuzaid, A.H.
Ibrahim, A.I.N.
Rambli, A.
author_sort Hussin, A.G.
title Detection of outliers in the complex linear regression model
title_short Detection of outliers in the complex linear regression model
title_full Detection of outliers in the complex linear regression model
title_fullStr Detection of outliers in the complex linear regression model
title_full_unstemmed Detection of outliers in the complex linear regression model
title_sort detection of outliers in the complex linear regression model
publisher Universiti Kebangsaan Malaysia
publishDate 2013
url http://journalarticle.ukm.my/6292/1/21_A.G._Hussin.pdf
http://journalarticle.ukm.my/6292/
http://www.ukm.my/jsm/
_version_ 1643736712558411776
score 13.211869