On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression Models

A bewildering large number of test statistics have been found for testing the presence of an outlier in multiple linear regression models. Exact critical values of these test statistics are not available, and approximate ones are usually obtained by the first-order Bonferroni upper bound or large-sc...

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Main Authors: Tobias Ejiofor Ugah, Emmanuel Ikechukwu Mba, Micheal Chinonso Eze, Kingsley Chinedu Arum, Ifeoma Christy Mba, Henrietta Ebele Oranye
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2021/1478843
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author Tobias Ejiofor Ugah
Emmanuel Ikechukwu Mba
Micheal Chinonso Eze
Kingsley Chinedu Arum
Ifeoma Christy Mba
Henrietta Ebele Oranye
author_facet Tobias Ejiofor Ugah
Emmanuel Ikechukwu Mba
Micheal Chinonso Eze
Kingsley Chinedu Arum
Ifeoma Christy Mba
Henrietta Ebele Oranye
author_sort Tobias Ejiofor Ugah
collection DOAJ
description A bewildering large number of test statistics have been found for testing the presence of an outlier in multiple linear regression models. Exact critical values of these test statistics are not available, and approximate ones are usually obtained by the first-order Bonferroni upper bound or large-scale simulations. In this paper, we show that the upper bound values of two of these test statistics are algebraically the same. An application to real data for multiple linear regression is used to demonstrate the procedure.
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institution Kabale University
issn 1110-757X
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-28dc627aeb004737bb15f73c8e2341102025-08-20T03:54:47ZengWileyJournal of Applied Mathematics1110-757X1687-00422021-01-01202110.1155/2021/14788431478843On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression ModelsTobias Ejiofor Ugah0Emmanuel Ikechukwu Mba1Micheal Chinonso Eze2Kingsley Chinedu Arum3Ifeoma Christy Mba4Henrietta Ebele Oranye5University of Nigeria, Nsukka, NigeriaUniversity of Nigeria, Nsukka, NigeriaUniversity of Nigeria, Nsukka, NigeriaUniversity of Nigeria, Nsukka, NigeriaUniversity of Nigeria, Nsukka, NigeriaUniversity of Nigeria, Nsukka, NigeriaA bewildering large number of test statistics have been found for testing the presence of an outlier in multiple linear regression models. Exact critical values of these test statistics are not available, and approximate ones are usually obtained by the first-order Bonferroni upper bound or large-scale simulations. In this paper, we show that the upper bound values of two of these test statistics are algebraically the same. An application to real data for multiple linear regression is used to demonstrate the procedure.http://dx.doi.org/10.1155/2021/1478843
spellingShingle Tobias Ejiofor Ugah
Emmanuel Ikechukwu Mba
Micheal Chinonso Eze
Kingsley Chinedu Arum
Ifeoma Christy Mba
Henrietta Ebele Oranye
On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression Models
Journal of Applied Mathematics
title On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression Models
title_full On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression Models
title_fullStr On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression Models
title_full_unstemmed On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression Models
title_short On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression Models
title_sort on the upper bounds of test statistics for a single outlier test in linear regression models
url http://dx.doi.org/10.1155/2021/1478843
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