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[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 …
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
Consider additive nonparametric regression model with two predictor variables components.
In the first predictor component, the regression curve is approached using Spline regression …
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 …
Transformation on Corporate Competitiveness and Corporate Sustainability. In this …
[PDF][PDF] Combined estimator fourier series and spline truncated in multivariable nonparametric regression
Multivariable additive nonparametric regression model is a nonparametric regression model
that involves more than one predictor and has additively separable function on each …
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
A mixed estimator nonparametric regression (MENR) model is an additive model that
involves a combination of two estimators or more in multivariable nonparametric regression …
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
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 …
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
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 …
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
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 …
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
Linearity assumption that has not been fulfilled in the path analysis should use
nonparametric approach. This research uses smoothing spline nonparametric path analysis …
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
Nonparametric regression approach is used when the shape of the curve regression is
unknown. The spline estimator approach for longitudinal data can accommodate the …
unknown. The spline estimator approach for longitudinal data can accommodate the …