Research Article

Robust model selection criteria for robust S and LTS estimators

Volume: 45 Number: 1 February 1, 2016
EN

Robust model selection criteria for robust S and LTS estimators

Abstract

Outliers and multi-collinearity often have large influence in the model/variable selection process in linear regression analysis. To investigate this combined problem of multi-collinearity and outliers, we studied and compared Liu-type S (liuS-estimators) and Liu-type Least Trimmed Squares (liuLTS) estimators as robust model selection criteria. Therefore, the main goal of this study is to select subsets of independent variables which explain dependent variables in the presence of multi-collinearity, outliers and possible departures from the normality assumption of the error distribution in regression analysis using these models. 

Keywords

References

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Details

Primary Language

English

Subjects

Statistics

Journal Section

Research Article

Publication Date

February 1, 2016

Submission Date

February 14, 2014

Acceptance Date

December 29, 2014

Published in Issue

Year 2016 Volume: 45 Number: 1

APA
Çetin, M. (2016). Robust model selection criteria for robust S and LTS estimators. Hacettepe Journal of Mathematics and Statistics, 45(1), 153-164. https://izlik.org/JA98WT58AH
AMA
1.Çetin M. Robust model selection criteria for robust S and LTS estimators. Hacettepe Journal of Mathematics and Statistics. 2016;45(1):153-164. https://izlik.org/JA98WT58AH
Chicago
Çetin, Meral. 2016. “Robust Model Selection Criteria for Robust S and LTS Estimators”. Hacettepe Journal of Mathematics and Statistics 45 (1): 153-64. https://izlik.org/JA98WT58AH.
EndNote
Çetin M (February 1, 2016) Robust model selection criteria for robust S and LTS estimators. Hacettepe Journal of Mathematics and Statistics 45 1 153–164.
IEEE
[1]M. Çetin, “Robust model selection criteria for robust S and LTS estimators”, Hacettepe Journal of Mathematics and Statistics, vol. 45, no. 1, pp. 153–164, Feb. 2016, [Online]. Available: https://izlik.org/JA98WT58AH
ISNAD
Çetin, Meral. “Robust Model Selection Criteria for Robust S and LTS Estimators”. Hacettepe Journal of Mathematics and Statistics 45/1 (February 1, 2016): 153-164. https://izlik.org/JA98WT58AH.
JAMA
1.Çetin M. Robust model selection criteria for robust S and LTS estimators. Hacettepe Journal of Mathematics and Statistics. 2016;45:153–164.
MLA
Çetin, Meral. “Robust Model Selection Criteria for Robust S and LTS Estimators”. Hacettepe Journal of Mathematics and Statistics, vol. 45, no. 1, Feb. 2016, pp. 153-64, https://izlik.org/JA98WT58AH.
Vancouver
1.Meral Çetin. Robust model selection criteria for robust S and LTS estimators. Hacettepe Journal of Mathematics and Statistics [Internet]. 2016 Feb. 1;45(1):153-64. Available from: https://izlik.org/JA98WT58AH