Yazar "Yılmaz, Ersin" için listeleme
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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 ... -
Regresyon Analizinde Sağdan Sansürlü Veriler İçin Önerilen Çözüm Yöntemleri Üzerine Bir İnceleme
Yılmaz, Ersin; Aydın, Dursun (2019)Sağdan sansürlü veri, başta klinik deneyler ve sağlık alanı olmak üzere biyoloji, endüstri, ekonomi, genetik ve bu alanlarla ilişkili birçok alanda karşımıza çıkmaktadır. Bu veri türünün en önemli karakteristik özelliği, ... -
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 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 ... -
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 modeling of the right-censored time-series based on different censorship solution techniques
Aydın, Dursun; Yılmaz, Ersin (Physica-Verlag Gmbh & Co, 2020)In this paper, we employ the penalized spline method to estimate the components of a right-censored semiparametric time-series regression model with autoregressive errors. Because of the censoring, the parameters of such ... -
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 ... -
Semıparametrıc Regressıon Estımates Based on Some Transformatıon Technıques for Rıght-Censored Data
Aydın, Dursun; Yılmaz, Ersin (2019)In this paper, we introduce three different data transformation approaches such as synthetic data transformation ([1]; [2]; [3]), Kaplan-Meier weights ([4]; [5]; [6]) and k-nearest neighbor (kNN) imputation method ([7]) ... -
Smoothing parameter selection in semiparametric regression models with censored data
Aydın, Dursun; Yılmaz, Ersin (Inst Advanced Science Extension, 2017)In this paper, we introduce penalized spline estimators for the unknown function and a parameter vector in a semiparametric regression model with right censored data. In order to obtain this estimator accurately and ... -
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 ... -
Truncation level selection in nonparametric regression using Padé approximation
Aydın, Dursun; Yılmaz, Ersin (Taylor and Francis Inc., 2019)This paper introduces a Padé-type approximation for an unknown regression function in a nonparametric regression model. This newly introduced approximation provides a linear model with multi-collinearities and errors in ...