Nonparametric regression estimation using multivariable truncated splines for binary response data. [PDF]
In recent years, Truncated Spline estimators in nonparametric regression for quantitative data have gained significant attention. However, in practical applications, it is common to encounter situations where the response variable is qualitative (binary).
Suriaslan AS +2 more
europepmc +4 more sources
Pemodelan Regresi Nonparametrik dengan Estimator Spline Truncated vs Deret Fourier
ABSTRAK Pendekatan regresi nonparametrik digunakan apabila hubungan antara variabel prediktor dan variabel respon tidak diketahui polanya. Spline truncated dan deret Fourier merupakan estimator dalam pendekatan nonparametrik yang terkenal, karena ...
Andrea Tri Rian Dani +1 more
doaj +4 more sources
MODELING STUNTING PREVALENCE IN INDONESIA USING SPLINE TRUNCATED SEMIPARAMETRIC REGRESSION
Semiparametric regression combines parametric and nonparametric regression approaches. It is employed when the relationship pattern of the response variable is known with some predictors, while for other predictors, the relationship pattern is uncertain.
Rizki Dwi Fadlirhohim +2 more
doaj +3 more sources
COMPARISON OF B-SPLINE AND TRUNCATED SPLINE REGRESSION MODELS FOR TEMPERATURE FORECAST
The spline regression model is a nonparametric model and it is applied to data that do not have a certain curve shape and do not have information about it.
Sri Sulistijowati Handajani +6 more
doaj +2 more sources
Development of nonparametric geographically weighted regression using truncated spline approach [PDF]
Nonparametric geographically weighted regression with truncated spline approach is a new method of statistical science. It is used to solve the problems of regression analysis of spatial data if the regression curve is unknown.
Sifriyani +3 more
doaj +2 more sources
A Combined Truncated Spline and Kernel Semiparametric Path Model Development
Semiparametric path analysis is a combination of parametric and nonparametric path analysis performed when the linearity assumption in some relationships is not met.
Usriatur Rohma +3 more
doaj +3 more sources
Development of Semiparametric Truncated Spline Logistic Path Analysis
Logistic path analysis extends logistic regression by incorporating intervening variables, addressing the limitations of linearity assumptions through nonparametric models like spline regression.
Sasi Wilujeng Sri Rejeki +4 more
doaj +2 more sources
MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR
Criminal acts are actions that violate the law and can arise from various factors such as emotions, psychological pressure, and others. Crime rate is a number that indicate the level of crime vulnerability in a certain area at a certain time.
Muhammad Althof Juniar +4 more
doaj +2 more sources
The performance of mixed truncated spline-local linear nonparametric regression model for longitudinal data. [PDF]
A mixed estimator nonparametric regression (MENR) model is an additive model that involves a combination of two estimators or more in multivariable nonparametric regression.
Sriliana I, Budiantara IN, Ratnasari V.
europepmc +2 more sources
Nonparametric spatio-temporal modeling: Contruction of a geographically and temporally weighted spline regression. [PDF]
This research introduces a new model called Geographically Temporally and Weighted Spline Nonparametric Regression (GTWSNR), which is an extension of the Geographically Temporally Weighted Regression (GTWR) model.
Sifriyani +8 more
europepmc +2 more sources

