Takip et
Özge Kuran (Department of Statistics-Associate Professor)
Özge Kuran (Department of Statistics-Associate Professor)
Dicle University, (Web of Science ResearcherID L-2391-2019) (http://orcid.org/0000-0001-5632-001X)
dicle.edu.tr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
162016
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
112020
Principal components regression and rk class predictions in linear mixed models
MR Özkale, Ö Kuran
Linear Algebra and Its Applications 543, 173-204, 2018
72018
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
62021
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
52019
Improvement of mixed predictors in linear mixed models
Ö Kuran, MR Özkale
Journal of Applied Statistics 48 (5), 924-942, 2021
32021
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
32021
Kernel ridge prediction method in partially linear mixed measurement error model
Ö Kuran, S Yalaz
Communications in Statistics-Simulation and Computation, 2022
22022
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
22019
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
12022
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
12021
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
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20