Mimar Sinan Güzel Sanatlar Üniversitesi Açık Bilim, Sanat Arşivi
Açık Bilim, Sanat Arşivi, Mimar Sinan Güzel Sanatlar Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.MSGSÜ'de Ara
Yazar "Asikgil, Baris" için listeleme
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An Adapted Approach for Self-Exciting Threshold Autoregressive Disturbances in Multiple Linear Regression
Asikgil, Baris (Gazi Univ, 2018)Ordinary least squares method is usually used for parameter estimation in multiple linear regression models when all regression assumptions are satisfied. One of the problems in multiple linear regression analysis is the ... -
INFORMATION COMPLEXITY CRITERION FOR ORDER DETERMINATION IN AUTOREGRESSIVE MODELS
Asikgil, Baris (Hacettepe Univ, Fac Sci, 2011)Autoregressive models which include lags of the dependent variable are usually used in time series analysis. The corelograrn of the series and some information criteria can be used in order to determine the order of these ... -
A new hybrid method for time series forecasting: AR-ANFIS
Sarica, Busenur; Egrioglu, Erol; Asikgil, Baris (Springer London Ltd, 2018)In this study, a new hybrid forecasting method is proposed. The proposed method is called autoregressive adaptive network fuzzy inference system (AR-ANFIS). AR-ANFIS can be shown in a network structure. The architecture ... -
Nonlinear time series forecasting with Bayesian neural networks
Kocadagli, Ozan; Asikgil, Baris (Pergamon-Elsevier Science Ltd, 2014)The Bayesian learning provides a natural way to model the nonlinear structure as the artificial neural networks due to their capability to cope with the model complexity. In this paper, an evolutionary Monte Carlo (MC) ... -
A Novel Approach for Estimating Seemingly Unrelated Regressions with High-Order Autoregressive Disturbances
Asikgil, Baris (Taylor & Francis Inc, 2014)A seemingly unrelated regression (SUR) model is defined by a system of linear regression equations in which the disturbances are contemporaneously correlated across equations. However, the disturbances can also be serially ... -
A novel hybrid robust tapering approach for nonlinear regression in the presence of autocorrelation and outliers
Kucuk, Serenay; Asikgil, Baris (Taylor & Francis Inc, 2023)Nonlinear models are commonly used for analyzing real-life data such as in medicine, engineering, and economics. To make efficient inferences about model parameter estimations and statistical results in nonlinear regression, ... -
On partial least-squares estimation in scalar-on-function regression models
Saricam, Semanur; Beyaztas, Ufuk; Asikgil, Baris; Shang, Han Lin (Wiley, 2022)Scalar-on-function regression, where the response is scalar valued and the predictor consists of random functions, is one of the most important tools for exploring the functional relationship between a scalar response and ... -
Polynomial tapered two-stage least squares method in nonlinear regression
Asikgil, Baris; Erar, Aydin (Elsevier Science Inc, 2013)Nonlinear models play an important role in various scientific disciplines and engineering. The parameter estimation of these models should be efficient to make better decisions. Ordinary least squares (OLS) method is used ... -
RESEARCH INTO MULTIPLE OUTLIERS IN LINEAR REGRESSION ANALYSIS
Asikgil, Baris; Erar, Aydin (Hacettepe Univ, Fac Sci, 2009)Studying the observations in regression analysis it is seen that the output of regression is affected from outliers in the direction of the dependent and / or the independent variables. In this paper multiple outliers are ... -
Robust Nonlinear Least Squares Approaches for Evaluating OVA-Mediated Bleaching Reactions: An Experimental Comparative Study
Asikgil, Baris (Gazi Univ, 2017)Nonlinear models are usually encountered in various areas including experimental studies such as physics, chemistry, biology etc. Ordinary least squares is one of the most widely used methods for parameter estimation in ... -
Sales Forecasting System for Newspaper Distribution Companies in Turkey
Incesu, Gencay; Asikgil, Baris; Tez, Mujgan (Univ Punjab, 2012)Newspapers are like goods with a shelf life of one day and they have to be distributed daily basis to the sales points. A problem that most newspaper companies encounter daily is how to predict the right number of newspapers ... -
Variable selection with genetic algorithm and multivariate adaptive regression splines in the presence of multicollinearity
Kilinc, Betul Kan; Asikgil, Baris; Erar, Aydin; Yazici, Berna (Inst Advanced Science Extension, 2016)In this paper, it is aimed to determine the true regressors explaining the dependent variable in multiple linear regression models and also to find the best model by using two different approaches in the presence of low, ...
