Yazar "Akkuş, Özge" 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 ... -
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 ... -
High-frequency protocorm-like bodies and shoot regeneration through a combination of thin cell layer and RITA((R)) temporary immersion bioreactor in Cattleya forbesii Lindl.
Ekmekçigil, Münire; Bayraktar, Meltem; Akkuş, Özge; Gürel, Aynur (Springer, 2019)An efficient in vitro mass propagation through protocorm-like bodies (PLBs) was established in Cattleya forbesii Lindl., a commercially important orchid. Whole PLBs (W-PLB) and transverse thin cell layers of PLB (tTCL-PLB) ... -
A new fuzzy time series model based on robust clustering for forecasting of air pollution
Dinçer, Nevin Güler; Akkuş, Özge (Elsevier Science Bv, 2018)In this study, a new Fuzzy Time Series (FTS) model based on the Fuzzy K-Medoid (FKM) clustering algorithm is proposed in order to forecast air pollution. FTS models generally have some advantages when compared with other ... -
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. ... -
ON THE PERFORMANCE OF THE SEMIPARAMETRIC BINARY RESPONSE MODEL WHEN THE TRUE MODEL IS PARAMETRIC LOGISTIC
Akkuş, Özge; Tatlıdil, Hüseyin; Göktaş, Atilla (Hacettepe Univ, Fac Sci, 2010)In this article, a simulation study is performed to reveal the deviations of the semiparametric binary response model from its parametric counterpart, based on various scenarios including different sample sizes, different ... -
Testing Binary Parametric Models Against their Semiparametric Alternatives Using Commands Written in Version 4.8 of the XploRe Package
Akkuş, Özge; Tatlıdil, Hüseyin (Hacettepe Univ, Fac Sci, 2009)The aim of this study is to introduce the commands we wrote for testing the parametric logit and probit models against their semiparametric alternatives in the windows based version 4.8 of the XploRe package, and to show ...
