Yazar "0000-0002-9871-4700" için İstatistik Bölümü Koleksiyonu listeleme
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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 ... -
Estimation of Right-censored SETAR-type Nonlinear Time-series Model
Ahmed, Syed Ejaz; Aydın, Dursun; Yılmaz, Ersin (EDP Sciences, 2023)This paper focuses on estimating the Self-Exciting Threshold Autoregressive (SETAR) type time-series model under right-censored data. As is known, the SETAR model is used when the underlying function of the relation-ship ... -
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 ... -
Modelling Right-Censored Data with Partially Linear Model and Feed Forward Neural Networks: A Methodological Study
Bal, Çağatay; Yılmaz, Ersin (Türkiye klinikleri, 2022)Objective: Modeling right-censored data becomes a challenging task in survival analysis, due to having an incomplete data structure. When the response variable is rightcensored, classical estimation methods cannot be used ... -
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 ... -
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 ... -
Reproducing Kernel Hilbert Space Approach to Multiresponse Smoothing Spline Regression Function
Lestari, Budi; Chamidah, Nur; Aydın, Dursun; Yılmaz, Ersin (MDPI, 2022)In statistical analyses, especially those using a multiresponse regression model approach, a mathematical model that describes a functional relationship between more than one response variables and one or more predictor ... -
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 ... -
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 ...