[HTML][HTML] Statistical modeling to analyze factors affecting the middle-income trap in Indonesia using panel data regression

V Ratnasari, SH Audha, ATR Dani - MethodsX, 2023 - Elsevier
Abstract The Middle-Income Trap (MIT) refers to the situation in which a country's per capita
income can reach middle-class levels but remains there for years, making it difficult to move …

[PDF][PDF] The combination of spline and kernel estimator for nonparametric regression and its properties

IN Budiantara, V Ratnasari, M Ratna… - Applied Mathematical …, 2015 - academia.edu
Consider additive nonparametric regression model with two predictor variables components.
In the first predictor component, the regression curve is approached using Spline regression …

[PDF][PDF] Servant leadership, business transformation, and corporate competitiveness

C HUTABARAT, S SUHARYONO… - The Journal of Asian …, 2021 - koreascience.kr
The purpose of this research is to examine the effect of Servant Leadership and Business
Transformation on Corporate Competitiveness and Corporate Sustainability. In this …

[PDF][PDF] Combined estimator fourier series and spline truncated in multivariable nonparametric regression

IW Sudiarsa, IN Budiantara, SW Purnami - Applied Mathematical …, 2015 - m-hikari.com
Multivariable additive nonparametric regression model is a nonparametric regression model
that involves more than one predictor and has additively separable function on each …

[HTML][HTML] The performance of mixed truncated spline-local linear nonparametric regression model for longitudinal data

I Sriliana, IN Budiantara, V Ratnasari - MethodsX, 2024 - Elsevier
A mixed estimator nonparametric regression (MENR) model is an additive model that
involves a combination of two estimators or more in multivariable nonparametric regression …

The regression curve estimation by using mixed smoothing spline and kernel (MsS-K) model

R Hidayat, IN Budiantara, BW Otok… - … in Statistics-Theory and …, 2021 - Taylor & Francis
In this article, we propose a new method in estimating non parametric regression curve. This
method combines the smoothing Spline and Kernel functions. Estimation of the estimator is …

Estimation of covariance matrix on bi-response longitudinal data analysis with penalized spline regression

A Islamiyati, N Chamidah - Journal of Physics: Conference …, 2018 - iopscience.iop.org
The correlation assumption of the longitudinal data with bi-response occurs on the
measurement between the subjects of observation and the response. It causes the auto …

A truncated spline and local linear mixed estimator in nonparametric regression for longitudinal data and its application

I Sriliana, IN Budiantara, V Ratnasari - Symmetry, 2022 - mdpi.com
Longitudinal data modeling is widely carried out using parametric methods. However, when
the parametric model is misspecified, the obtained estimator might be severely biased and …

Comparison of curve estimation of the smoothing spline nonparametric function path based on PLS and PWLS in various levels of heteroscedasticity

AAR Fernandes, B Hutahayan… - IOP Conference …, 2019 - iopscience.iop.org
Linearity assumption that has not been fulfilled in the path analysis should use
nonparametric approach. This research uses smoothing spline nonparametric path analysis …

Spline estimator for bi-responses and multi-predictors nonparametric regression model in case of longitudinal data

AAR Fernandes, IN Budiantara… - Journal of Mathematics …, 2015 - scholar.its.ac.id
Nonparametric regression approach is used when the shape of the curve regression is
unknown. The spline estimator approach for longitudinal data can accommodate the …