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Communications in Statistics - Theory and Methods Volume 31, 2002 - Issue 5
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Original Articles

A MORE GENERAL CRITERION FOR SUBSET SELECTION IN MULTIPLE LINEAR REGRESSION

D. N. Kashid Department of Statistics, Shivaji University, Kolhapur, 416 004, India
&
S. R. Kulkarni Department of Statistics, Shivaji University, Kolhapur, 416 004, India
Pages 795-811 | Published online: 15 Feb 2007

Citations (13)

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T. S. Kamble, D. N. Kashid & D. M. Sakate. (2019) Consistent and robust variable selection in regression based on Wald test. Communications in Statistics - Theory and Methods 48:8, pages 1981-2000.
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Articles from other publishers (12)

Jireh Yi-Le Chan, Steven Mun Hong Leow, Khean Thye Bea, Wai Khuen Cheng, Seuk Wai Phoong, Zeng-Wei Hong & Yen-Lin Chen. (2022) Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review. Mathematics 10:8, pages 1283.
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K. SHENDE & Dattatraya KASHİD. (2021) High leverage points and vertical outliers resistant model selection in regression. Hacettepe Journal of Mathematics and Statistics 50:6, pages 1773-1792.
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Yunfei Guo & Zhonghua Li. (2021) Outlier robust model averaging based on S p criterion . Stat 10:1.
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A Nabila, Y Widyaningsih & S Nurrohmah. (2021) The GSp criterion on subset selection method for regression in the presence of outliers and multicollinearity. Journal of Physics: Conference Series 1725:1, pages 012024.
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Shivaji Shripati Desai & D. N. Kashid. (2020) Support Vector Machine-based Modified Sp Statistic for Subset Selection with Non-Normal Error Terms. Journal of Modern Applied Statistical Methods 18:1.
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K. S. Shende & D. N. Kashid. (2019) Least absolute deviation estimator based consistent model selection in regression. Communications for Statistical Applications and Methods 26:3, pages 273-293.
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Yukio Sadahiro & Yan Wang. (2018) Configuration of sample points for the reduction of multicollinearity in regression models with distance variables. The Annals of Regional Science 61:2, pages 295-317.
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Daniele Antonucci, Ulrich Filippi Oberegger, Wilmer Pasut & Andrea Gasparella. (2017) Building performance evaluation through a novel feature selection algorithm for automated arx model identification procedures. Energy and Buildings 150, pages 432-446.
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Nileshkumar H. Jadhav, Dattatraya N. Kashid & Subhash R. Kulkarni. (2014) Subset selection in multiple linear regression in the presence of outlier and multicollinearity. Statistical Methodology 19, pages 44-59.
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David Ellen, Stephen Day & Christopher Davies. 2011. Statistical and Machine-Learning Data Mining. Statistical and Machine-Learning Data Mining 116 123 .
Bruce Ratner. (2010) Variable selection methods in regression: Ignorable problem, outing notable solution. Journal of Targeting, Measurement and Analysis for Marketing 18:1, pages 65-75.
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Burak Eksioglu, Riza Demirer & Ismail Capar. (2005) Subset selection in multiple linear regression: a new mathematical programming approach. Computers & Industrial Engineering 49:1, pages 155-167.
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