A Hybrid Algorithm for Identifying Multiple Outlers in Linear Regression |
Kim, Bu-yong
(Department of Statistics, Sookmyung Women′s University)
Kim, Hee-young (Strategy and Innovation Dept., Kookmin Credit Card Co. Ltd) |
1 |
Unmasking Multivariate Outliers and Leverage Points
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DOI ScienceOn |
2 |
Procedures for the Identification of Multiple Outliers in Linear Models
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DOI ScienceOn |
3 |
Testing for a Single Outlier in Simple Linear Regression
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DOI ScienceOn |
4 |
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5 |
Improvements in Computational Efficiency and Accuracy of an Algorithm for the Identification of Regression Outliers
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6 |
<TEX>$L_{\infty}$</TEX>-estimation based Algorithm for the Least Median of Squares Estimator
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과학기술학회마을 |
7 |
A Multistage Procedure for Detecting Several Outliers in Linear Regression
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DOI ScienceOn |
8 |
Equivariant, Monotonic, 50% Breakdown Estimators
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DOI ScienceOn |
9 |
A Monte Carlo Comparison of Five Procedures for Identifying Outliers in Linear Regression
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DOI |
10 |
A Comparative Analysis of Multiple Outlier Detection Procedures in the Linear Regression Model
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DOI ScienceOn |
11 |
Least Median of Squares Regression
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DOI ScienceOn |
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