Purification of thermostable β-galactosidase from Anoxybacillus sp. KP1 and estimation of combined effect of some chemicals on enzyme activity using semiparametric errors in … FM Bekler, S Yalaz, O Acer, K Guven Fresenius Environmental Bulletin 26 (3), 2251-2259, 2017 | 20 | 2017 |
Fuzzy linear regression for the time series data which is fuzzified with SMRGT Method S Yalaz, A Atay Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20 (3), 405-413, 2016 | 9 | 2016 |
Çok değişkenli uyarlamalı regresyon eğrileri ve konik programlama ile zaman serilerinin modellenmesi S Toprak Dicle Üniversitesi Fen Bilimleri Enstitüsü, Diyarbakır, 2011 | 9 | 2011 |
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 | 7 | 2021 |
Optimization of the thermostable alkaline and Ca-dependent α− amylase production from Bacillus paralicheniformis by statistical modeling FM Bekler, S Yalaz, RG Güven, K Güven Journal of the Serbian Chemical Society 84 (10), 1093-1104, 2019 | 7 | 2019 |
Evaluation of antibacterial effects of some traditional plants against pathogen microorganisms K Güven, FM Bekler, S Yalaz, RG Güven, MD Aksu, M İpekçı, FR Tuşar, ... Banat's Journal of Biotechnology 11 (21), 38-49, 2020 | 6 | 2020 |
Combined effects of some chemicals on–galactosidase activity using a new semiparametric errors in variables model S Yalaz, F Matpan Bekler, O Acer Banat’s Journal of Biotechnology 10 (19), 42-50, 2019 | 6 | 2019 |
Characterization of thermostable β-galactosidase from Anoxybacillus ayderensis and optimal design for enzyme inhibition using semiparametric EIV models F Matpan Bekler, S Yalaz, R Gul Guven, O Acer, K Guven The Online Journal of Science and Technology 8 (2), 32-38, 2018 | 4 | 2018 |
SMRGT yöntemi ile bulanıklaştırılmış veriler için bulanık doğrusal regresyon S Yalaz, A Atay, ZF Toprak Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi 31 (3), 152-158, 2015 | 4 | 2015 |
Kernel ridge prediction method in partially linear mixed measurement error model Ö Kuran, S Yalaz Communications in Statistics-Simulation and Computation 53 (5), 2330-2350, 2024 | 3 | 2024 |
A new approach to adaptive spline threshold autoregression by using Tikhonov regularization and continuous optimization S Yalaz, P Taylan, FY Özkurt Journal of Statistics and Management Systems 22 (6), 1127-1142, 2019 | 3 | 2019 |
Multivariate partially linear regression in the presence of measurement error S Yalaz AStA Advances in Statistical Analysis 103, 123-135, 2019 | 3 | 2019 |
Kernel Liu prediction approach in partially linear mixed measurement error models Ö Kuran, S Yalaz Statistics 56 (6), 1385-1408, 2022 | 2 | 2022 |
Wavelet estimation of semiparametric errors in variables model S Yalaz Communications Faculty of Sciences University of Ankara Series A1 …, 2018 | 2 | 2018 |
CHARACTERIZATION OF THERMOSTABLE 𝜷𝜷-GALACTOSIDASE FROM Anoxybacillus ayderensis AND OPTIMAL DESIGN FOR ENZYME INHIBITION USING SEMIPARAMETRIC EIV MODELS FM BEKLER, S YALAZ, RG GÜVEN, O ACER, K GÜVEN The Online Journal of Science and Technology-April 8 (2), 2018 | 2 | 2018 |
SMRGT yöntemi ile bulanıklaştırılmış veriler için bulanık doğrusal regresyon S Toprak, A Atay, ZF Toprak Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 31 (3), 1-7, 2015 | 2 | 2015 |
Semiparametric EIV regression model with unknown errors in all variables S Yalaz, M Tez Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 8 (4), 1177-1183, 2019 | 1 | 2019 |
Molecular characterisation and numerical analysis of novel moderately thermophile Anoxybacillus sp. FMB1 FM Bekler, S Yalaz, K GÜVEN Romanian Biotechnological Letters 23 (5), 13964, 2018 | 1 | 2018 |
Fourier Transform by Distribution Function in Statistics S Yalaz Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 7 (2), 581-591, 2024 | | 2024 |
A new kernel two-parameter prediction under multicollinearity in partially linear mixed measurement error model S Yalaz, Ö Kuran Statistics, 1-26, 2024 | | 2024 |