Yazar "0000-0001-8393-1270" 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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 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 ...