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Toplam kayıt 22, listelenen: 11-20
Right-Censored Nonparametric Regression: A Comparative Simulation Study
(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, ...
Rational (Pade) approximation for estimating the components of the partially-linear regression model
(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 ...
Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data
(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 ...
Comparison of parametric and semi-parametric models with randomly right-censored data by weighted estimators: Two applications in colon cancer and hepatocellular carcinoma datasets
(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 ...
Right-Censored Time Series Modeling by Modified Semi-Parametric A-Spline Estimator
(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 ...
Reproducing Kernel Hilbert Space Approach to Multiresponse Smoothing Spline Regression Function
(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 ...
Penalty and Shrinkage Strategies Based on Local Polynomials for Right-Censored Partially Linear Regression
(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 ...
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models
(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 ...
Modelling Right-Censored Data with Partially Linear Model and Feed Forward Neural Networks: A Methodological Study
(Türkiye klinikleri, 2022)
Objective: Modeling right-censored data becomes a challenging task in survival analysis, due to having an incomplete data structure. When the response variable is rightcensored, classical estimation methods cannot be used ...
Determination of Exogenous Adrenaline Levels in Patients Undergoing Cardiopulmonary Resuscitation
(American Chemical Society, 2023)
Core-shell quantum dot ZnS/CdSe screen-printed electrodes were used to electrochemically measure human blood plasma levels of exogenous adrenaline administered to cardiac arrest patients. The electrochemical behavior of ...