Yazar "Göktaş, Atila" için listeleme
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Are most proposed ridge parameter estimators skewed and do they have any effect on MSE values?
Mermi, Selman; Göktaş, Atila; Akkuş, Özge (Taylor and Francis Ltd., 2021)Multicollinearity is a common problem in multiple regression that occurs whenever two or more explanatory variables are highly correlated. When multicollinearity exists, the method of Ordinary Least Square (OLS) is likely ... -
A Comparison of Different Ridge Parameters under Both Multicollinearity and Heteroscedasticity
Sevinç, Volkan; Göktaş, Atila (2019)One of the major problems in fitting an appropriate linear regression model is multicollinearity which occurs when regressors are highly correlated. To overcome this problem, ridge regression estimator which is an alternative ... -
Comparison of partial least squares with other prediction methods via generated data
Göktaş, Atila; Akkuş, Özge (Taylor & Francis Ltd, 2020)The purpose of this study is to compare the Partial Least Squares (PLS), Ridge Regression (RR) and Principal Components Regression (PCR) methods, used to fit regressors with severe multicollinearity against a dependent ... -
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business finance
Göktaş, Atila; Özge, Akkuş (TAYLOR & FRANCIS LTD, 2021)The special issue ‘Recent Statistical Methods for Data Analysis, Applied Economics, Business Finance’ wasmainly established for participants who attended the ‘11th International StatisticsCongress’, held on 4–8October ... -
Large-scale global optimization based on hybrid swarm intelligence algorithm
Mashwani, Wali Khan; Hamdi, Abdelouahed; Asif Jan, Muhammad; Göktaş, Atila; Khan, Fouzia (IOS Press, 2020)There are numerous large-scale global optimization problems encountered in real-world applications including engineering, manufacturing, economics, networking fields. Over the last two decades different varieties of swarm ... -
A new robust ridge parameter estimator based on search method for linear regression model
Göktaş, Atila; Akkuş, Özge; Kuvat, Aykut (Taylor & Francis Ltd, 2020)A large and wide variety of ridge parameter estimators proposed for linear regression models exist in the literature. Actually proposing new ridge parameter estimator lately proving its efficiency on few cases seems endless. ... -
Preface
Göktaş, Atila; Kaçıranlar, Selahattin; Akdı, Yılmaz (TAYLOR & FRANCIS INC, 2021)We are pleased that the Eleventh International Statistics Days Conference (ISDC) was a great success.
