Yazar "Yılmaz, Ersin" için WoS İndeksli Yayınlar Koleksiyonu listeleme
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Bandwidth Selection Problem for Nonparametric Regression Model with Right-Censored Data
Aydın, Dursun; Yılmaz, Ersin (Natl Inst Statistics, 2017)In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya-Watson (Nadarya, 1964; Watson, 1964) type kernel estimator. In this estimation procedure, the censored observations are ... -
Censored Nonparametric Time-Series Analysis with Autoregressive Error Models
Aydın, Dursun; Yılmaz, Ersin (Springer, 2020)This paper focuses on nonparametric regression modeling of time-series observations with data irregularities, such as censoring due to a cutoff value. In general, researchers do not prefer to put up with censored cases in ... -
Choice of smoothing parameter for kernel type ridge estimators in semiparametric regression models
Yılmaz, Ersin; Yüzbaşı, Bahadır; Aydın, Dursun (National Statistical Institute, 2021)This paper concerns kernel-type ridge estimators of parameters in a semiparametric model. These estimators are a generalization of the well-known Speckman’s approach based on kernel smoothing method. The most important ... -
Comparison of parametric and semi-parametric models with randomly right-censored data by weighted estimators: Two applications in colon cancer and hepatocellular carcinoma datasets
Yenilmez, İsmail; Yılmaz, Ersin; Mert Kantar, Yeliz; Aydın, Dursun (SAGE Publications Inc., 2021)In this study, parametric and semi-parametric regression models are examined for random right censorship. The components of the aforementioned regression models are estimated with weights based on Cox and Kaplan-Meier ... -
Effects of Lunar Phases and Weather Conditions on Small-scale and Trawl Fishery Landings in Southern Aegean Sea, Turkiye
Cerim, HasanCerim, Hasan; Yılmaz, Ersin; Doğu, Eralp (SPRINGER INT PUBL AG, 2023)Several studies have investigated the effect of the lunar phase and weather conditions on animal behaviour. As in other parts of the world, fishermen may modify their behaviour in response to the weather conditions and the ... -
Estimating the Nonparametric Regression Function by Using Pade Approximation Based on Total Least Squares
Ahmed, Syed Ejaz; Aydın, Dursun; Yılmaz, Ersin (Taylor & Francis Inc, 2020)In this paper, we propose a Pade-type approximation based on truncated total least squares (P - TTLS) and compare it with three commonly used smoothing methods: Penalized spline, Kernel smoothing and smoothing spline methods ... -
Estimation of semiparametric regression model with right-censored high-dimensional data
Aydın, Dursun; Ahmed, S. Ejaz; Yılmaz, Ersin (Taylor & Francis Ltd, 2019)In this paper, we consider the estimation problem for the semiparametric regression model with censored data in which the number of explanatory variables p in the linear part is much larger than sample size n, often denoted ... -
Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data
Ahmed, Syed Ejaz; Aydın, Dursun; Yılmaz, Ersin (IRANIAN STATISTICAL SOC, 2021)Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity ... -
Modified estimators in semiparametric regression models with right-censored data
Aydın, Dursun; Yılmaz, Ersin (Taylor & Francis Ltd, 2018)In this work we introduce different modified estimators for the vector parameter and an unknown regression function g in semiparametric regression models when censored response observations are replaced with synthetic data ... -
Modified Local Linear Estimators in Partially Linear Additive Models with Right-Censored Data Based on Different Censorship Solution Techniques
Yılmaz, Ersin; Aydın, Dursun; Ahmed, Syed Ejaz (MDPI, 2023)This paper introduces a modified local linear estimator (LLR) for partially linear additive models (PLAM) when the response variable is subject to random right-censoring. In the case of modeling right-censored data, PLAM ... -
Modified spline regression based on randomly right-censored data: A comparative study
Aydın, Dursun; Yılmaz, Ersin (Taylor & Francis Inc, 2018)In this paper, we propose modified spline estimators for nonparametric regression models with right-censored data, especially when the censored response observations are converted to synthetic data. Efficient implementation ... -
Rational (Pade) approximation for estimating the components of the partially-linear regression model
Dursun, Aydın; Yılmaz, Ersin; Chamidah, Nur (Taylor & Francis Inc., 2021)This paper proposes a new smoothing technique based on rational function approximation using truncated total least squares (P - TTLS) and compares it with the widely used smoothing spline method, which has become a very ... -
Right-Censored Nonparametric Regression: A Comparative Simulation Study
Aydın, Dursun; Yılmaz, Ersin (Assoc Information Communication Technology Education & Science, 2016)This paper introduces the operating of the selection criteria for right-censored nonparametric regression using smoothing spline. In order to transform the response variable into a variable that contains the right-censorship, ... -
Right-censored partially linear regression model with error in variables: application with carotid endarterectomy dataset
Aydın, Dursun; Yılmaz, Ersin (WALTER DE GRUYTER GMBH, 2023)This paper considers a partially linear regression model relating a right-censored response variable to predictors and an extra covariate with measured error. The main problem here is that censorship and measurement error ... -
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 ... -
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 ...