Gilmour's approach to mixed and stochastic restricted ridge predictions in linear mixed models Ö Kuran, MR Özkale Linear Algebra and Its Applications 508, 22-47, 2016 | 16 | 2016 |
A further prediction method in linear mixed models: Liu prediction MR Özkale, Ö Kuran Communications in Statistics-Simulation and Computation 49 (12), 3171-3195, 2020 | 11 | 2020 |
Principal components regression and rk class predictions in linear mixed models MR Özkale, Ö Kuran Linear Algebra and Its Applications 543, 173-204, 2018 | 7 | 2018 |
Kernel estimator and predictor of partially linear mixed-effect errors-in-variables model S Yalaz, Ö Kuran Journal of Statistical Computation and Simulation 91 (5), 934-951, 2021 | 6 | 2021 |
Model selection via conditional conceptual predictive statistic under ridge regression in linear mixed models Ö Kuran, MR Özkale Journal of statistical computation and simulation 89 (1), 155-187, 2019 | 5 | 2019 |
Improvement of mixed predictors in linear mixed models Ö Kuran, MR Özkale Journal of Applied Statistics 48 (5), 924-942, 2021 | 3 | 2021 |
Marginal ridge conceptual predictive model selection criterion in linear mixed models Ö Kuran, MR Özkale Communications in Statistics-Simulation and Computation 50 (2), 508-607, 2021 | 3 | 2021 |
Kernel ridge prediction method in partially linear mixed measurement error model Ö Kuran, S Yalaz Communications in Statistics-Simulation and Computation, 2022 | 2 | 2022 |
Adaptation of the jackknifed ridge methods to the linear mixed models MR Özkale, Ö Kuran Journal of Statistical Computation and Simulation 89 (18), 3413–3452, 2019 | 2 | 2019 |
Kernel Liu prediction approach in partially linear mixed measurement error models Ö Kuran, S Yalaz Statistics: A Journal of Theoretical and Applied Statistics 56 (6), 1385-1408, 2022 | 1 | 2022 |
Improving prediction by means of a two parameter approach in linear mixed models Ö Kuran, N Özbay Journal of Statistical Computation and Simulation 91 (18), 3721-3743, 2021 | 1 | 2021 |
Generalized Kibria-Lukman Prediction Approximation in Linear Mixed Models Ö Kuran Fundamentals of Contemporary Mathematical Sciences 5 (1), 25-35, 2024 | | 2024 |
Performance assessment of the modified Kernel ridge predictors in the partially linear mixed measurement error models via Covid-19 data analysis Ö Kuran, S Yalaz Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi …, 2024 | | 2024 |
The ridge prediction error sum of squares statistic in linear mixed models Ö Kuran, MR Özkale Metrika, 2023 | | 2023 |
Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models: an application to COVID-19 Ö Kuran, S Yalaz Journal of Applied Statistics, 1-25, 2023 | | 2023 |
A new two-parameter biased prediction class in linear mixed models Ö Kuran The 9th International Conference on Advances in Statistics (Online) (ICAS …, 2023 | | 2023 |
Model selection via conditional conceptual predictive statistic for mixed and stochastic restricted ridge estimators in linear mixed models MR Özkale, Ö Kuran Concurrency and Computation: Practice and Experience 34 (28), e7366, 2022 | | 2022 |
Examination of mean square error performances of Kernel, Kernel ridge, Kernel mixed and stochastic restricted ridge predictors in the partially linear mixed measurement error … Ö Kuran The 6th International Symposium of Researchers, Statisticians and Young …, 2022 | | 2022 |
Wavelet estimation in nonparametric linear mixed-effects errors in variables model S Yalaz, Ö Kuran Sigma Journal of Engineering and Natural Sciences 40 (3), 630-639, 2022 | | 2022 |
The 𝑟-𝑑 class predictions in linear mixed models Ö Kuran Journal of Inverse and Ill-posed Problems 29 (4), 477-498, 2021 | | 2021 |