An Empirical Comparison of Some Statistics for Identifying Outliers and Influential Observations in Linear Regression Models

This paper reports the results of an empirical study of applying seven commonly used methods for identifying outliers and influential observations in linear regression models to six well-known data sets in the literature. The results show that the methods do not always agree. Observations which are...

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Main Authors: Balasooriya, U., TSE, Yiu Kuen, Liew, Y. S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1987
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Online Access:https://ink.library.smu.edu.sg/soe_research/254
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Institution: Singapore Management University
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spelling sg-smu-ink.soe_research-12532010-09-23T05:48:03Z An Empirical Comparison of Some Statistics for Identifying Outliers and Influential Observations in Linear Regression Models Balasooriya, U. TSE, Yiu Kuen Liew, Y. S. This paper reports the results of an empirical study of applying seven commonly used methods for identifying outliers and influential observations in linear regression models to six well-known data sets in the literature. The results show that the methods do not always agree. Observations which are detected as ‘significantly influential’ may only moderately affect the parameter estimates when they are removed from the regression. Combinations of procedures should be judiciously used in empirical studies. 1987-01-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/254 info:doi/10.1080/02664768700000022 Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Economics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Economics
spellingShingle Economics
Balasooriya, U.
TSE, Yiu Kuen
Liew, Y. S.
An Empirical Comparison of Some Statistics for Identifying Outliers and Influential Observations in Linear Regression Models
description This paper reports the results of an empirical study of applying seven commonly used methods for identifying outliers and influential observations in linear regression models to six well-known data sets in the literature. The results show that the methods do not always agree. Observations which are detected as ‘significantly influential’ may only moderately affect the parameter estimates when they are removed from the regression. Combinations of procedures should be judiciously used in empirical studies.
format text
author Balasooriya, U.
TSE, Yiu Kuen
Liew, Y. S.
author_facet Balasooriya, U.
TSE, Yiu Kuen
Liew, Y. S.
author_sort Balasooriya, U.
title An Empirical Comparison of Some Statistics for Identifying Outliers and Influential Observations in Linear Regression Models
title_short An Empirical Comparison of Some Statistics for Identifying Outliers and Influential Observations in Linear Regression Models
title_full An Empirical Comparison of Some Statistics for Identifying Outliers and Influential Observations in Linear Regression Models
title_fullStr An Empirical Comparison of Some Statistics for Identifying Outliers and Influential Observations in Linear Regression Models
title_full_unstemmed An Empirical Comparison of Some Statistics for Identifying Outliers and Influential Observations in Linear Regression Models
title_sort empirical comparison of some statistics for identifying outliers and influential observations in linear regression models
publisher Institutional Knowledge at Singapore Management University
publishDate 1987
url https://ink.library.smu.edu.sg/soe_research/254
_version_ 1770569087377735680