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Journal of Applied Statistics Volume 41, 2014 - Issue 6
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Original Articles

Variable selection via penalized minimum φ-divergence estimation in logistic regression

D.M. SakateDepartment of Statistics, Shivaji University, Kolhapur, Maharashtra, IndiaCorrespondence[email protected]
&
D.N. KashidDepartment of Statistics, Shivaji University, Kolhapur, Maharashtra, India
Pages 1233-1246 | Received 09 Nov 2012, Accepted 06 Nov 2013, Published online: 02 Dec 2013

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R. L. Salamwade & D. M. Sakate. (2022) Robust variable selection via penalized MT-estimator in generalized linear models. Communications in Statistics - Theory and Methods 51:22, pages 8053-8065.
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Articles from other publishers (2)

R. L. Salamwade, D. M. Sakate & S. K. Mathur. (2019) ϕ-Divergence Loss-Based Artificial Neural Network. Journal of Modern Applied Statistical Methods 17:2.
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Kevin Moon, Kumar Sricharan, Kristjan Greenewald & Alfred HeroIIIIII. (2018) Ensemble Estimation of Information Divergence †. Entropy 20:8, pages 560.
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