| A new estimation approach based on moments for estimating Weibull parameters in wind power applications I Usta, I Arik, I Yenilmez, YM Kantar Energy Conversion and Management 164, 570-578, 2018 | 88 | 2018 |
| Wind speed analysis using the Extended Generalized Lindley Distribution YM Kantar, I Usta, I Arik, I Yenilmez Renewable Energy, 2018 | 71 | 2018 |
| Estimation of censored regression model in the case of non-normal error İ Yenilmez, YM Kantar, Ş Acıtaş Sigma Journal of Engineering and Natural Sciences 36 (2), 513-521, 2018 | 8 | 2018 |
| Distributions of wind speed at different heights YM Kantar, I Usta, I Arik, I Yenilmez 2016 International Conference on Engineering & MIS (ICEMIS), 1-6, 2016 | 8 | 2016 |
| A study on estimation of wind speed distribution by using the Modified Weibull distribution YM Kantar, I Usta, I Yenilmez, I Arık Bilişim Teknolojileri Dergisi 9 (2), 63, 2016 | 8 | 2016 |
| İstatistiksel kavramların teknoloji ile öğretiminin matematik didaktiği perspektifinden incelenmesi İ Yenilmez Marmara Üniversitesi, Eğitim Bilimleri Enstitüsü, 2016 | 8 | 2016 |
| Tobit Liu estimation of censored regression model: an application to Mroz data and a Monte Carlo simulation study S Toker, N Özbay, GÜ Şiray, İ Yenilmez Journal of Statistical Computation and Simulation 91 (6), 1061-1091, 2021 | 7 | 2021 |
| THE GENERALIZED LINDLEY DISTRIBUTION TO MODEL WIND SPEED I YENILMEZ, A Ibrahim, YM KANTAR, U Ilhan | 7 | 2016 |
| Modified maximum likelihood estimator under the Jones and Faddy's skew t-error distribution for censored regression model S Acitas, I Yenilmez, B Senoglu, YM Kantar Journal of Applied Statistics 48 (12), 2136-2151, 2021 | 6 | 2021 |
| Comparison of some estimation methods of the two parameter Weibull distribution for unusual wind speed data cases YM Kantar, I Arık, I Usta, I Yenilmez Bilişim Teknolojileri Dergisi 9 (2), 81, 2016 | 6 | 2016 |
| The Evaluation of Robust and Efficient Estimators for Log-Logistic Distribution for Censored Data with/without Outliers Yİ ARIK İBRAHİM,MERT KANTAR YELİZ Journal of Scientific Research and Development 2 (12), 24-32, 2015 | 4* | 2015 |
| Estimation of conventional and innovative models for Rwanda's GDP per capita: A comparative analysis of artificial neural networks and Box–Jenkins methodologies İ Yenilmez, F Mugenzi Scientific African 22, e01902, 2023 | 3 | 2023 |
| Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization C İçöz, İ Yenilmez Spatial Information Research 31 (1), 39-50, 2023 | 3 | 2023 |
| An alternative estimation method based on alpha skew logistic distribution for parameters of censored regression model I Yenilmez, YM Kantar International Journal of Data Science and Applications 2 (2), 16-20, 2019 | 3 | 2019 |
| Comparison of parametric and semi-parametric models with randomly right-censored data by weighted estimators: Two applications in colon cancer and hepatocellular carcinoma datasets İ Yenilmez, E Yılmaz, YM Kantar, D Aydın Statistical Methods in Medical Research 31 (2), 372-387, 2022 | 2 | 2022 |
| Quasi-Maximum Likelihood Estimator based on Moyal Distribution for Censored Data I YENILMEZ, I USTA, YM KANTAR 5th IRSYSC, 2019 | 2 | 2019 |
| Evaluation of robust estimation methods in estimating weibull parameters for wind energy application I Arik, YM Kantar, I Usta, I Yenilmez Proceedings of the The International Conference on Engineering & MIS 2015, 1-6, 2015 | 2 | 2015 |
| Analysis of the modified Weibull distribution for estimation of wind speed distribution I Yenilmez, YM Kantar, I Arik, I Usta Proceedings of the The International Conference on Engineering & MIS 2015, 1-5, 2015 | 2 | 2015 |
| Asma Anacı Çeliklerinde Kök Oluşum Yoğunluğu Yerlerinin Saptanması İ YENİLMEZ, CAN Fatime, S Çelik Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi 23 (3), 561-567, 2020 | 1 | 2020 |
| SPATIAL DISTRIBUTION OF POVERTY THRESHOLD IN TURKEY IY Vural Yıldırım, Yeliz Mert Kantar Journal of Quantitative Sciences 1 (2), 52-61, 2019 | 1* | 2019 |
Ibrahim ArıkBilecik Üniversitesi在 bilecik.edu.tr 的电子邮件经过验证
