Results 61 to 70 of about 5,866 (154)
Some semiparametric regression model approaches include spline, kernel, Fourier series, and wavelet. Semiparametric regression modelling can involve more than one independent variable (multivariable), a parametric approach is usually combined with one of
Lilik Hidayati +4 more
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On the linear independence of (truncated) hierarchical subdivision splines
Motivated by the necessity to perform adaptive refinement in geometric design and numerical simulation, (truncated) hierarchical generating systems for nested spaces of splinefunctions defined on domains in Rd have been recently introduced. Their linear independence can be guaranteed with the help of the local linear independence of the spline basisat ...
Zore, U, Jüttler, B, Kosinka, Jiri
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This study investigates the application of a truncated spline nonparametric regression model for biresponse analysis of longitudinal data, focusing on modeling monthly stock prices specifically opening and closing prices of three private banks in ...
Reza Pahlepi +3 more
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Structural Equation Modeling Semiparametric Truncated Spline in Banking Credit Risk Behavior Models
Housing is one of the primary needs for every individual. Along with the increasing population growth in Indonesia, the need for housing has also experienced a significant surge.
Devi Veda Amanda +3 more
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Comparison of Nonparametric Path Analysis and Biresponse Regression using Truncated Spline Approach
Nonparametric path analysis and biresponse nonparametric regression are two flexible statistical approaches to analyze the relationship between variables without assuming a certain form of relationship.
Laila Nur Azizah +4 more
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A mixed estimator nonparametric regression (MENR) model is an additive model that involves a combination of two estimators or more in multivariable nonparametric regression.
Idhia Sriliana +2 more
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Rice pest control is a critical challenge in the agricultural sector that requires a deep understanding of rice pest management. Regression analysis is a statistical method capable of describing and predicting cause-and-effect relationships between ...
Laila Nur Azizah +2 more
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Kernel-Truncated Spline: Estimator Fleksibel untuk Regresi Nonparametrik
This study aims to develop a multivariable nonparametric regression model using a hybrid approach that combines Spline and kernel estimators. This method is proposed to address the limitations of conventional nonparametric models that typically apply a single type of estimator across all predictor variables, regardless of their individual patterns.
Rahmat Hidayat +2 more
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Theory and algorithms for truncated hierarchical B-splines
For several decades the Computer-Aided Design (CAD) software libraries have been using B-splines and NURBS as their basic spline representation for geometric objects. This is due to the many desirable properties the B-splines possess. Unfortunately, for many years the users of CAD software had to deal with the fact that the generalization of the B ...
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Smoothing spline density estimation from doubly truncated data
In Astronomy, Survival Analysis and Epidemiology, among many other fields, doubly truncated data often appear. Double truncation generally induces a sampling bias, so ordinary estimators may be inconsistent. In this paper, smoothing spline density estimation from doubly truncated data is investigated.
Bamio, David, de Uña-Álvarez, Jacobo
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