Nonparametric regression estimation using multivariable truncated splines for binary response data [PDF]
MethodsXIn 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).
I Nyoman Budiantara
exaly +6 more sources
Determination of the best knot and bandwidth in geographically weighted truncated spline nonparametric regression using generalized cross validation [PDF]
MethodsX, 2023 This study proposes the development of nonparametric regression for data containing spatial heterogeneity with local parameter estimates for each observation location.
Robiansyah Putra +2 more
exaly +4 more sources
COMPARISON OF B-SPLINE AND TRUNCATED SPLINE REGRESSION MODELS FOR TEMPERATURE FORECAST
Barekeng, 2023 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]
Songklanakarin Journal of Science and Technology (SJST), 2018 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
Spline estimation method in nonparametric regression using truncated spline approach
Journal of Physics: Conference Series, 2021 Abstract A parametric regression approach is used when the shape of the regression curve is known, and the nonparametric approach is used when the shape of the regression curve is unknown, the parametric regression model is still forced as a model of data patterns, it will cause inaccurate conclusions if the form of the function is not ...
D A Widyastuti +2 more
exaly +2 more sources
The performance of mixed truncated spline-local linear nonparametric regression model for longitudinal data [PDF]
MethodsXA 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
doaj +2 more sources
Mathematics, 2021 Nonparametric regression becomes a potential solution if the parametric regression assumption is too restrictive while the regression curve is assumed to be known.
Helida Nurcahayani +2 more
exaly +3 more sources
Development of Semiparametric Truncated Spline Logistic Path Analysis
Cauchy: Jurnal Matematika Murni dan AplikasiLogistic 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
A Combined Truncated Spline and Kernel Semiparametric Path Model Development
Cauchy: Jurnal Matematika Murni dan AplikasiSemiparametric 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 +2 more sources
MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR
BarekengCriminal 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