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Atilla GÖKTAŞ
Title
Cited by
Cited by
Year
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
2302002
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
1342011
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
632013
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
592020
Türkiye’de işsizlik oraninin temel bileşenli regresyon analizi ile belirlenmesi
A Göktaş, İ Öznur
Sosyal Ekonomik Araştırmalar Dergisi 10 (20), 279-294, 2010
462010
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
182020
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
162017
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
162016
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
132011
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
62011
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
52021
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
52019
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
42020
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
32020
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
32013
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
12024
Time scale in least square method
Ö Yeniay, Ö İşçi, A Göktaş, MN Çankaya
Abstract and Applied Analysis 2014, 2014
12014
TÜRKİYE’DE ENFLASYON ORANININ TEMEL BİLEŞENLİ LP NORM YÖNTEMİ İLE TAHMİNİ
İ Öznur, A GÖKTAŞ
Sosyal Ekonomik Araştırmalar Dergisi 11 (21), 535-554, 2011
12011
A genetic algorithm approach for the best subset selection in linear regression
Ö YENİAY, A GÖKTAŞ
Gazi University Journal of Science 16 (1), 37-45, 2003
12003
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Articles 1–20