Kurum Yazarı "Aydın, Dursun" İstatistik Bölümü Koleksiyonu İçin 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 ... -
Consistency and Asymptotic Normality of Estimator for Parameters in Multiresponse Multipredictor Semiparametric Regression Model
Chamidah, Nur; Lestari, Budi; Budiantara, I. Nyoman; Saifudin, Toha; Rulaningtyas, Riries; Aryati, Aryati; Wardani, Puspa; Aydın, Dursun (MDPI, 2022)A multiresponse multipredictor semiparametric regression (MMSR) model is a combination of parametric and nonparametric regressions models with more than one predictor and response variables where there is correlation between ... -
Determining confidence interval and asymptotic distribution for parameters of multiresponse semiparametric regression model using smoothing spline estimator
Lestari, Budi; Chamidah, Nur; Nyoman Budiantara I.; Aydın, Dursun (Elsevier B.V., 2023)The multiresponse semiparametric regression (MSR) model is a regression model with more than two response variables that are mutually correlated, and its regression function is composed of parametric and nonparametric ... -
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 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 ... -
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 ... -
Imputation Method Based on Sliding Window for Right-Censored Data
Ahmed, Syed Ejaz; Aydın, Dursun; Yılmaz, Ersin (Springer, 2020)Censored data arise in almost all important statistical analyses. For example, in patient-based studies, biostatistics data often subject to right censoring due to the detection limits, or to incomplete data. In the context ... -
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 ... -
Optimum shrinkage parameter selection for ridge type estimator of Tobit model
Aydın, Dursun; İşçi Güneri, Öznur; Yılmaz, Ersin (Taylor and Francis Ltd., 2020)This paper presents different ridge type estimators based on maximum likelihood ((Formula presented.)) for parameters of a Tobit model. In this context, an algorithm is introduced to get the estimators based on (Formula ... -
Penalty and Shrinkage Strategies Based on Local Polynomials for Right-Censored Partially Linear Regression
Ahmed, Syed Ejaz; Aydın, Dursun; Yılmaz, Ersin (MDPI, 2022)This study aims to propose modified semiparametric estimators based on six different penalty and shrinkage strategies for the estimation of a right-censored semiparametric regression model. In this context, the methods ... -
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 ... -
Ridge-type pretest and shrinkage estimations in partially linear models
Yuzbasi, Bahadir; Ahmed, S. Ejaz; Aydın, Dursun (Springer, 2020)In this paper, we suggest pretest and shrinkage ridge regression estimators for a partially linear regression model, and compare their performance with some penalty estimators. We investigate the asymptotic properties of ... -
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 ...