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Communications in Statistics - Simulation and Computation Volume 48, 2019 - Issue 4
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Original Articles

Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses

Fikriye KurtoğluDepartment of Statistics, Çukurova University, Faculty of Science and Letters, Adana, TurkeyCorrespondence[email protected]
&
M. Revan ÖzkaleDepartment of Statistics, Çukurova University, Faculty of Science and Letters, Adana, Turkey
Pages 1191-1218 | Received 20 Mar 2017, Accepted 19 Nov 2017, Published online: 15 Dec 2017

Citations (5)

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Read on this site (2)

Sonia Ahmad, Muhammad Aslam & Shakeel Ahmad. (2023) Extending the Liu estimator for the Cox proportional hazards regression model with multicollinearity. Communications in Statistics - Simulation and Computation 0:0, pages 1-14.
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Muhammad Qasim, Muhammad Nauman Akram, Muhammad Amin & Kristofer Månsson. (2022) A restricted gamma ridge regression estimator combining the gamma ridge regression and the restricted maximum likelihood methods of estimation. Journal of Statistical Computation and Simulation 92:8, pages 1696-1713.
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Articles from other publishers (3)

M. Revan Özkale & Atif Abbasi. (2022) Iterative restricted OK estimator in generalized linear models and the selection of tuning parameters via MSE and genetic algorithm. Statistical Papers 63:6, pages 1979-2040.
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M. Revan Özkale & Hans Nyquist. (2019) The stochastic restricted ridge estimator in generalized linear models. Statistical Papers 62:3, pages 1421-1460.
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Atıf ABBASI & Revan ÖZKALE. (2021) The r-k class estimator in generalized linear models applicable with simulation and empirical study using a Poisson and Gamma responses. Hacettepe Journal of Mathematics and Statistics 50:2, pages 594-611.
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