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Journal of Statistical Computation and Simulation Volume 56, 1996 - Issue 1
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Original Articles

A biased-robust regression technique for the combined outlier-multicollinearity problem

James R. Simpsona Department of Mathematical Sciences, United States Air Force Academy, USAF Academy, CO, 80840
&
Douglas C. Montgomery Department of Industrial and Management Systems Engineering, Arizona State University, Tempe, AZ, 85287
Pages 1-22 | Received 29 Nov 1995, Published online: 20 Mar 2007

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M. Roozbeh, M. Maanavi & N. A. Mohamed. (2023) A robust counterpart approach for the ridge estimator to tackle outlier effect in restricted multicollinear regression models. Journal of Statistical Computation and Simulation 0:0, pages 1-18.
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Yuh-Jenn Wu, Li-Hsueh Cheng & Wei-Quan Fang. (2021) Sparse linear regression models of high dimensional covariates with non-Gaussian outliers and Berkson error-in-variable under heteroscedasticity. Communications in Statistics - Simulation and Computation 50:11, pages 3146-3165.
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Pedro Macedo, Manuel Scotto & Elvira Silva. (2016) Regularization with Maximum Entropy and Quantum Electrodynamics: The Merg(E) Estimators. Communications in Statistics - Simulation and Computation 45:3, pages 1143-1157.
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Sangheum Hwang, Dohyun Kim, Myong K Jeong & Bong-Jin Yum. (2015) Robust kernel-based regression with bounded influence for outliers. Journal of the Operational Research Society 66:8, pages 1385-1398.
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Asuman Turkmen & Omer Ozturk. (2014) Rank-based ridge estimation in multiple linear regression. Journal of Nonparametric Statistics 26:4, pages 737-754.
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Ricardo A. Maronna. (2011) Robust Ridge Regression for High-Dimensional Data. Technometrics 53:1, pages 44-53.
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Tzong-Ru Tsai & Shuo-Jye Wu. (2002) Fuzzy-weighted estimation in ridge regression analysis. Journal of Information and Optimization Sciences 23:2, pages 259-271.
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L. Camarinopoulos & G. Zioutas. (2002) Formulating robust regression estimation as an optimum allocation problem. Journal of Statistical Computation and Simulation 72:9, pages 687-705.
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Articles from other publishers (9)

Huili Chen, Qiuhua Liang, Zhongyao Liang, Yong Liu & Shuguang Xie. (2019) Remote-sensing disturbance detection index to identify spatio-temporal varying flood impact on crop production. Agricultural and Forest Meteorology 269-270, pages 180-191.
Crossref
. 2018. Robust Statistics. Robust Statistics 407 422 .
Fadhil Abbul Abbas AL- Aabdi & Rafid Malik Atiyah AL – Shaibani. (2014) Robust Estimators of Logistic Regression with Problems Multicollinearity or Outliers Values.. Journal of Kufa for Mathematics and Computer 2:2, pages 63-70.
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C Z Ma & Y L Du. (2014) Generalized shrunken type-GM estimator and its application. IOP Conference Series: Materials Science and Engineering 57, pages 012010.
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Ali Erkoc, Esra Emiroglu & Kadri Ulas Akay. (2014) Graphical Evaluation of the Ridge-Type Robust Regression Estimators in Mixture Experiments. The Scientific World Journal 2014, pages 1-9.
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Chao Zhong Ma, Yuan Lu Du, Qing Ming Gui, Yong Wei Gu & Ji Fu. (2013) A New Class of Biased Estimate. Applied Mechanics and Materials 416-417, pages 1296-1304.
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J. Militký. 2011. Soft Computing in Textile Engineering. Soft Computing in Textile Engineering 45 102 .
Rajkumar Roy, Srichand Hinduja & Roberto Teti. (2008) Recent advances in engineering design optimisation: Challenges and future trends. CIRP Annals 57:2, pages 697-715.
Crossref
G. Zioutas. 2004. Theory and Applications of Recent Robust Methods. Theory and Applications of Recent Robust Methods 387 400 .

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