Kurum Yazarı "Aydın, Dursun" İstatistik Bölümü Koleksiyonu İçin Listeleme
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Right-Censored Time Series Modeling by Modified Semi-Parametric A-Spline Estimator
Aydın, Dursun; Ahmed, Syed Ejaz; Yılmaz, Ersin (MDPI, 2021)This paper focuses on the adaptive spline (A-spline) fitting of the semiparametric regression model to time series data with right-censored observations. Typically, there are two main problems that need to be solved in ... -
Semiparametric modeling of the right-censored time-series based on different censorship solution techniques
Aydın, Dursun; Yılmaz, Ersin (Physica-Verlag Gmbh & Co, 2020)In this paper, we employ the penalized spline method to estimate the components of a right-censored semiparametric time-series regression model with autoregressive errors. Because of the censoring, the parameters of such ... -
Semiparametric Time-Series Model Using Local Polynomial: An Application on the Effects of Financial Risk Factors on Crop Yield
Ahmed, Syed Ejaz; Aydın, Dursun (MDPI, 2022)This paper proposes a semiparametric local polynomial estimator for modelling agricultural time-series. We consider the modelling of the crop yield variable according to determined financial risk factors in Turkey. The ... -
Smoothing parameter selection in semiparametric regression models with censored data
Aydın, Dursun; Yılmaz, Ersin (Inst Advanced Science Extension, 2017)In this paper, we introduce penalized spline estimators for the unknown function and a parameter vector in a semiparametric regression model with right censored data. In order to obtain this estimator accurately and ... -
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models
Aydın, Dursun; Ahmed, Syed Eja; Yılmaz, Ersin (John Wiley and Sons Inc, 2022)This paper aims to present an overview of Semiparametric additive models. An estimation of the finite-parameters of semiparametric regression models that involve additive nonparametric components is explained, including ... -
Truncation level selection in nonparametric regression using Padé approximation
Aydın, Dursun; Yılmaz, Ersin (Taylor and Francis Inc., 2019)This paper introduces a Padé-type approximation for an unknown regression function in a nonparametric regression model. This newly introduced approximation provides a linear model with multi-collinearities and errors in ...