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Journal of Applied Statistics Volume 43, 2016 - Issue 4
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Original Articles

Conditional conceptual predictive statistic for mixed model selection

Cheng WenrenProcess Modeling Analytics Department, Bristol-Myers Squibb, New York, NY, USA
&
Junfeng ShangDepartment of Mathematics and Statistics, Bowling Green State University, 450 Math Science Building, Bowling Green, OH43403, USACorrespondence[email protected]
Pages 585-603 | Received 01 Sep 2014, Accepted 07 Jul 2015, Published online: 09 Aug 2015

Citations (6)

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Read on this site (3)

Jingwei Xiong & Junfeng Shang. (2021) A penalized approach to mixed model selection via cross-validation. Communications in Statistics - Theory and Methods 50:11, pages 2481-2507.
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Özge Kuran & M. Revan Özkale. (2021) Marginal ridge conceptual predictive model selection criterion in linear mixed models. Communications in Statistics - Simulation and Computation 50:2, pages 581-607.
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Özge Kuran & M. Revan Özkale. (2019) Model selection via conditional conceptual predictive statistic under ridge regression in linear mixed models. Journal of Statistical Computation and Simulation 89:1, pages 155-187.
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Articles from other publishers (3)

Özge Kuran & M. Revan Özkale. (2023) The ridge prediction error sum of squares statistic in linear mixed models. Metrika.
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M. Revan Özkale & Özge Kuran. (2022) Model selection via conditional conceptual predictive statistic for mixed and stochastic restricted ridge estimators in linear mixed models. Concurrency and Computation: Practice and Experience 34:28.
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Simona Buscemi & Antonella Plaia. (2019) Model selection in linear mixed-effect models. AStA Advances in Statistical Analysis 104:4, pages 529-575.
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