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Secil Yalaz
Secil Yalaz
Dicle Üniversitesinde İstatistik Doçenti
在 dicle.edu.tr 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
202017
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
92016
Çok değişkenli uyarlamalı regresyon eğrileri ve konik programlama ile zaman serilerinin modellenmesi
S Toprak
Dicle Üniversitesi Fen Bilimleri Enstitüsü, Diyarbakır, 2011
92011
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
72021
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
72019
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
62020
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
62019
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
42018
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
42015
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
32024
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
32019
Multivariate partially linear regression in the presence of measurement error
S Yalaz
AStA Advances in Statistical Analysis 103, 123-135, 2019
32019
Kernel Liu prediction approach in partially linear mixed measurement error models
Ö Kuran, S Yalaz
Statistics 56 (6), 1385-1408, 2022
22022
Wavelet estimation of semiparametric errors in variables model
S Yalaz
Communications Faculty of Sciences University of Ankara Series A1 …, 2018
22018
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
22018
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
22015
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
12019
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
12018
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
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