Outlier Detection in Linear Models: A Comparative Study in Simple Linear Regression
Publication Type
Journal Article
Publication Date
1986
Abstract
Five widely used test statistics for detecting outliers and influential observations were studied using Monte Carlo method . The test statistic based on Studentized residuals, with critical values given by Tietjen, Moore and Beckman (1973), appears to be the best procedure for detecting a single outlier in simple linear regression.
Discipline
Economics
Research Areas
Econometrics
Publication
Communications in Statistics: Theory and Methods
Volume
15
Issue
12
First Page
3589
Last Page
3598
ISSN
0361-0926
Identifier
10.1080/03610928608829332
Publisher
Taylor and Francis
Citation
Balasooriya, U. and TSE, Yiu Kuen.
Outlier Detection in Linear Models: A Comparative Study in Simple Linear Regression. (1986). Communications in Statistics: Theory and Methods. 15, (12), 3589-3598.
Available at: https://ink.library.smu.edu.sg/soe_research/307
Additional URL
https://doi.org/10.1080/03610928608829332