Yazar "Ahmed, Syed Ejaz" için listeleme
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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 ... -
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 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 ... -
Nonparametric regression estimates based on imputation techniques for right-censored data
Ahmed, Syed Ejaz; Aydin, Dursun; Yılmaz, Ersin (Springer Verlag, 2020)Censored data is a kind of data type where the exact value of a response variable is not completely known. Therefore, this case is a problem that should be solved in order to obtain an accurate and efficient data analysis. ... -
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 ... -
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 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 ...
