Yazar "Aydın, Dursun" için listeleme
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A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
Aydın, Dursun; Mammadov, Mammadagha (2009)This paper presents a comparative study of the hybrid models, neural networks and nonparametric regression models in time series forecasting. The components of these hybrid models are consisting of the nonparametric ... -
A Comparison of the Nonparametric Regression Models using Smoothing Spline and Kernel Regression
Aydın, Dursun (World Acad Sci, Eng & Tech-Waset, 2007)This paper study about using of nonparametric models for Gross National Product data in Turkey and Stanford heart transplant data. It is discussed two nonparametric techniques called smoothing spline and kernel regression. ... -
The empirical performances of the selection criteria for nonparametric regression using smoothing spline
Aydın, Dursun; Omay, Rabia Ece (World Scientific and Engineering Academy and Society, 2006)In this paper, the smoothing parameter selection problem has been examined in nonparametric regression using smoothing spline method for different data sets. For that reason a Monte Carlo simulation study has been performed ... -
Estimation in semi-parametric and additive regression using smoothing and regression spline
Aydın, Dursun; Tuzemen, M. S. (2010)In this paper, we try to investigate how the current account to gross domestic product (CAGDP) ratio in Turkey reacts to variations in the real effective exchange rate (REER) over the period of 1991:Q4-2007:Q3. For this ... -
Estimation of GDP in Turkey by nonparametric regression models
Aydın, Dursun (World Scientific And Engineering Acad And Soc, 2007)Present study is about using of nonparametric models for GDP (Gross Domestic Product) per capita prediction in Turkey. It has been considered two alternative situations due to seasonal effects. In the first case, it is ... -
Hybrid Models Combining Neural Networks and Nonparametric Regression Models Used for Time Series Prediction
Aydın, Dursun; Mammadov, Mammadagha (World Scientific And Engineering Acad And Soc, 2009)In this paper, we proposed the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the nonparametric ... -
Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models
Aydın, Dursun; Mammadov, Mammadagha (Taylor & Francis LTD, 2012)In this article, we discuss the penalized least squares problem which has many advantageous computational properties. This method based on penalized spline (P-spline) smoothing can be formulated to fit into a linear mixed ... -
Relationship between sums of squares in linear regression and semi-parametric regression
Aydın, Dursun; Şenel, B. (2009)In this paper, the sum of squares in linear regression is reduced to sum of squares in semi-parametric regression. We indicated that different sums of squares in the linear regression are similar to various deviance ... -
Semiparametrik regresyon modellemede splayn düzeltme yaklaşımı ile tahmin ve çıkarsamalar
Aydın, Dursun (Anadolu Üniversitesi, 2005)Bu tezde semiparametrik regresyon modelinin kestirimi için kısmi splayn ve Speckman yaklaşımı adı altında iki farklı yaklaşım incelenmiştir. Adı geçen bu iki yaklaşım, bir uygulama üzerinde MATLAB ortamında yazılan bir ... -
Semiparametrik Toplamsal Regresyon Modeli ile Tahmin: Eskişehir’deki Evlerin Kira Fiyatları ve Özellikleri Arasındaki İlişkilerin Analizi
Omay, Rabia Ece; Aydın, Dursun; Mammadov, Mammadagha (Anadolu Üniversitesi, 2007)Çalışmada Eskişehir merkezde yer alan evlerin kira fiyatları ile evlerin özelikleri arasındaki ilişkilerin incelenmesinde farklı regresyon modelleri ele alınmıştır. Yapılan istatistiksel analizler sonucunda, evlerin kira ... -
The smoothing parameter selection problem in smoothing spline regression for different data sets
Aydın, Dursun; Omay, Rabia Ece (2007)This paper studies smoothing parameter selection problem in nonparametric regression based on smoothing spline method for different data sets. For this aim, a Monte Carlo simulation study was performed. This simulation ... -
Time Series Forecasting Using a Hybrid Neural Networks and Nonparametric Regression Model
Aydın, Dursun; Mammadov, Mammadagha (Isoss Publ, 2014)The focus in this paper embraces the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ... -
Yarı Parametrik Modellerde Splayn Düzeltme İle Tahmin ve Çıkarsamalar
Aydın, Dursun; Mammadov, Mammadagha; Yüzer, Ali Faut; Ağaoğlu, Embiya (Anadolu Üniversitesi, 2007)Yarı parametrik regresyon modelleri için splayn düzeltme metoduna dayalı yeni bir tahmin kavramı Eubank vd. (1998) tarafından tanıtılmıştır. Bu tahmin kavramına göre, splayn düzeltmeyi esas alan farklı iki yaklaşım Schimek ...
