A Comparison of Partial Least Squares Regression with Other Prediction Methods Ö YENİAY, A GÖKTAŞ Hacettepe Journal of Mathematics and Statistics 31, 99-111, 2002 | 230 | 2002 |
A comparison of the most commonly used measures of association for doubly ordered square contingency tables via simulation A Göktaş, Ö İşçi Advances in Methodology and Statistics 8 (1), 17–37-17–37, 2011 | 135 | 2011 |
A comparison of binary logit and probit models with a simulation study S Cakmakyapan, A Goktas Journal of Social and Economic statistics 2 (1), 1-17, 2013 | 67 | 2013 |
Machine learning based automated segmentation and hybrid feature analysis for diabetic retinopathy classification using fundus image A Ali, S Qadri, W Khan Mashwani, W Kumam, P Kumam, S Naeem, ... Entropy 22 (5), 567, 2020 | 58 | 2020 |
Türkiye’de işsizlik oraninin temel bileşenli regresyon analizi ile belirlenmesi A Göktaş, Ö İşçi Sosyal Ekonomik Araştırmalar Dergisi 10 (20), 279-294, 2010 | 48 | 2010 |
Large-scale global optimization based on hybrid swarm intelligence algorithm WK Mashwani, A Hamdi, M Asif Jan, A Göktaş, F Khan Journal of Intelligent & Fuzzy Systems, 1-19, 2020 | 20 | 2020 |
Path analysis and determining the distribution of indirect effects via simulation Öİ Güneri, A Göktaş, U Kayalı Journal of Applied Statistics 44 (7), 1181-1210, 2017 | 18 | 2017 |
Two new ridge parameters and a guide for selecting an appropriate ridge parameter in linear regression A Göktaş, V Sevinç Gazi University Journal of Science 29 (1), 201-211, 2016 | 16 | 2016 |
Estimation of the eyeball and orbital volume using the cavalieri principle on computed tomography images A Niyazi, M Demir, U Tolga, H Pekmez, A Göktaş Balkan Medical Journal 2011 (2), 184-188, 2011 | 12 | 2011 |
Comparison of Partial Least Squares with Other Prediction Methods via Generated Data ÖA A. GÖKTAŞ Journal of Statistical Computation and Simulation, DOI: 10.1080/00949655 …, 2020 | 7 | 2020 |
Are most proposed ridge parameter estimators skewed and do they have any effect on MSE values? S Mermi, A Göktaş, Ö Akkuş Journal of Statistical Computation and Simulation, 1-20, 2021 | 6 | 2021 |
Hybrid differential evolutionary strawberry algorithm for real-parameter optimization problems OYAH Wali Khan Mashwan, Abdullah Khan, Atila Göktaş,Yuksel Akay Unvan Communication in Statistics, Theory and Methods, https://doi.org/10.1080 …, 2020 | 6* | 2020 |
A comparison and normality test of some measures of association via simulation for rectangular doubly ordered cross tables A Göktaş, İ Öznur Scientific Research and Essays 6 (30), 6297-6310, 2011 | 6 | 2011 |
A comparison of different ridge parameters under both multicollinearity and heteroscedasticity V Sevinç, A Göktaş Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 23 (2), 381-389, 2019 | 5 | 2019 |
A new robust ridge parameter estimator based on search method for linear regression model A Göktaş, Ö Akkuş, A Kuvat Journal of Applied Statistics, 2020 | 4 | 2020 |
Awareness and knowledge levels about HIV/AIDS among high school students in Mugla, Turkey B Ekinci, A Goktas Journal of AIDS and HIV Research 5 (11), 436-442, 2013 | 3 | 2013 |
A new robust ridge parameter estimator having no outlier and ensuring normality for linear regression model S Mermi, Ö Akkuş, A Göktaş, N Gündüz Journal of Radiation Research and Applied Sciences 17 (1), 100788, 2024 | 1 | 2024 |
Time scale in least square method Ö Yeniay, Ö İşçi, A Göktaş, MN Çankaya Abstract and Applied Analysis 2014 (1), 354237, 2014 | 1 | 2014 |
TÜRKİYE’DE ENFLASYON ORANININ TEMEL BİLEŞENLİ LP NORM YÖNTEMİ İLE TAHMİNİ İ Öznur, A GÖKTAŞ Sosyal Ekonomik Araştırmalar Dergisi, 535-554, 2011 | 1 | 2011 |
A genetic algorithm approach for the best subset selection in linear regression Ö Yeniay, A Göktaş Gazi University Journal of Science 16 (1), 37-45, 2003 | 1 | 2003 |