Yazar "Aydın, Dursun" için listeleme

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 Nonparametric Regression Solved by kNN Imputation: A Comparative Study

Yılmaz, Ersin; Aydın, Dursun (2019)

This paper introduces an estimation procedure for the right-censored nonparametric regression model using smoothing spline method. In this process, to overcome the censorship problem we used an imputation method based on ...

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 ...

Grup Üyelerini Belirlemede İstatistiksel Sınıflandırma Yöntemleri: Karşılaştırmalı Bir Çalışma

Güneri, Öznur İşçi; Aydın, Dursun (2017)

Amaç: Bu çalışmada, önceden tanımlı iki veya daha fazla grubun üyelerini tahmin etmek ve sınıflandırma fonksiyonlarını geliştirmek için diskriminant analizi (DA), çok terimli lojistik regresyon (MLR) ve regresyon ağacı ...

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 ...