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Toplam kayıt 4, listelenen: 1-4
Nonparametric regression estimates based on imputation techniques for right-censored data
(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. ...
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 ...
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 ...
Modified Local Linear Estimators in Partially Linear Additive Models with Right-Censored Data Based on Different Censorship Solution Techniques
(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 ...