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Statistics
A Journal of Theoretical and Applied Statistics
Volume 47, 2013 - Issue 2
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Original Articles

General ridge predictors in a mixed linear model

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Pages 363-378 | Received 18 Mar 2010, Accepted 24 May 2011, Published online: 18 Aug 2011

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Read on this site (16)

Fariba Janamiri, Abdolrahman Rasekh, Alireza Chaji & Babak Babadi. (2023) Ridge-GME estimation in linear mixed models. Communications in Statistics - Theory and Methods 52:15, pages 5115-5132.
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Najmieh Maksaei, Abdolrahman Rasekh & Babak Babadi. (2023) Influence measures and outliers detection in linear mixed measurement error models with Ridge estimation. Communications in Statistics - Simulation and Computation 52:7, pages 3062-3078.
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Fariba Janamiri, Abdolrahman Rasekh, Alireza Chaji & Babak Babadi. (2022) Ridge estimation in linear mixed measurement error models using generalized maximum entropy. Statistics 56:5, pages 1095-1112.
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Bahareh Yavarizadeh, Abdolrahman Rasekh, Syed Ejaz Ahmed & Babak Babadi. (2022) Ridge estimation in linear mixed measurement error models with stochastic linear mixed restrictions. Communications in Statistics - Simulation and Computation 51:6, pages 3037-3053.
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Özge Kuran & Seçil Yalaz. (2022) Kernel ridge prediction method in partially linear mixed measurement error model. Communications in Statistics - Simulation and Computation 0:0, pages 1-21.
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Bahareh Yavarizadeh & S. Ejaz Ahmed. (2022) The weighted ridge estimation for linear mixed models with measurement error under stochastic linear mixed restrictions. Communications in Statistics - Theory and Methods 51:6, pages 1605-1621.
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Fatemeh Ghapani. (2022) Stochastic restricted Liu estimator in linear mixed measurement error models. Communications in Statistics - Simulation and Computation 51:3, pages 1220-1233.
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Özge Kuran & Nimet Özbay. (2021) Improving prediction by means of a two parameter approach in linear mixed models. Journal of Statistical Computation and Simulation 91:18, pages 3721-3743.
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Özge Kuran & M. Revan Özkale. (2021) Stochastic restricted Liu predictors in linear mixed models. Communications in Statistics - Simulation and Computation 50:9, pages 2561-2580.
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Bahareh Yavarizadeh & Syed Ejaz Ahmed. (2021) The new mixed ridge estimator in a linear mixed model with measurement error under stochastic linear mixed restrictions. Communications in Statistics - Simulation and Computation 50:8, pages 2185-2196.
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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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M. Revan Özkale & Özge Kuran. (2020) A further prediction method in linear mixed models: Liu prediction. Communications in Statistics - Simulation and Computation 49:12, pages 3171-3195.
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M. Revan Özkale & Özge Kuran. (2019) Adaptation of the jackknifed ridge methods to the linear mixed models. Journal of Statistical Computation and Simulation 89:18, pages 3413-3452.
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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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M. Revan Özkale & Funda Can. (2017) An evaluation of ridge estimator in linear mixed models: an example from kidney failure data. Journal of Applied Statistics 44:12, pages 2251-2269.
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Hu Yang, Huiliang Ye & Kai Xue. (2014) A Further Study of Predictions in Linear Mixed Models. Communications in Statistics - Theory and Methods 43:20, pages 4241-4252.
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Articles from other publishers (6)

Fatemeh Ghapani & Babak Babadi. (2024) Estimation of Linear Mixed Measurement Error Models in the Presence of Multicollinearity. Journal of Statistical Sciences 17:2, pages 0-0.
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Özge KURAN & Seçil YALAZ. (2024) Performance Assessment of the Modified Kernel Ridge Predictors in the Partially Linear Mixed Measurement Error Models via Covid-19 Data AnalysisÖlçüm Hatalı Kısmi Lineer Karma Modellerde Modified Kernel Ridge Öntahmin Edicilerin Covid-19 Veri Analizi Yoluyla Performans Değerlendirmesi. Deu Muhendislik Fakultesi Fen ve Muhendislik 26:76, pages 134-140.
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Adewale F. Lukman, Muhammad Amin & B. M. Golam Kibria. (2021) K‐L estimator for the linear mixed models: Computation and simulation. Concurrency and Computation: Practice and Experience 34:6.
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Nahid Ganjealivand, Fatemeh Ghapani, Ali Zaherzadeh & Farshin Hormozinejad. (2021) Stochastic Restricted Two-Parameter Estimator in Linear Mixed Measurement Error Models. Journal of the Iranian Statistical Society 20:2, pages 79-102.
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Özge Kuran. (2021) The 𝑟-𝑑 class predictions in linear mixed models. Journal of Inverse and Ill-posed Problems 29:4, pages 477-498.
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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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