What type of study is this?

This is a Quantitative Study study.

September 20, 2025Jurnal Matematika Statistika dan KomputasiOpen Access

Multiresponse Nonparametric Regression Model with Mixed Estimator of Truncated Spline and Kernel for Poverty Indicators Analysis in Nusa Tenggara

View Full Paper

Ask AI

Bookmark

Authors

AAAris AswadiSepuluh Nopember Institute of Technology IBI Nyoman BudiantaraSepuluh Nopember Institute of Technology IZIsmaini ZainSepuluh Nopember Institute of Technology

Discussion

Member takes

Overview

This study reveals a nonparametric regression model for poverty indicators in Nusa Tenggara, highlighting the use of a mixed spline and kernel approach.

Key Points

The study identifies a multiresponse nonparametric regression model to analyze poverty indicators in Nusa Tenggara.
Findings report that the Human Development Index aligns with a truncated spline function, improving model accuracy.
Weighted least square estimation is employed to derive the best-fit model, achieving an R² value of 89.86%.
Implications suggest that mixed estimators are effective in modeling various poverty indicators across districts.

Cite This Study

Aswadi et al. (2025) studied this question.

synapsesocial.com/papers/68d46aa631b076d99fa673f3 https://doi.org/10.20956/j.v22i1.45505

View Full Paper

Ask AI

Bookmark

September 20, 2025Jurnal Matematika Statistika dan KomputasiOpen Access

Multiresponse Nonparametric Regression Model with Mixed Estimator of Truncated Spline and Kernel for Poverty Indicators Analysis in Nusa Tenggara

View Full Paper

Ask AI

Bookmark

Authors

AAAris AswadiSepuluh Nopember Institute of Technology IBI Nyoman BudiantaraSepuluh Nopember Institute of Technology IZIsmaini ZainSepuluh Nopember Institute of Technology

Discussion

Member takes

Overview

This study reveals a nonparametric regression model for poverty indicators in Nusa Tenggara, highlighting the use of a mixed spline and kernel approach.

Key Points

The study identifies a multiresponse nonparametric regression model to analyze poverty indicators in Nusa Tenggara.
Findings report that the Human Development Index aligns with a truncated spline function, improving model accuracy.
Weighted least square estimation is employed to derive the best-fit model, achieving an R² value of 89.86%.
Implications suggest that mixed estimators are effective in modeling various poverty indicators across districts.

Cite This Study

Aswadi et al. (2025) studied this question.

synapsesocial.com/papers/68d46aa631b076d99fa673f3 https://doi.org/10.20956/j.v22i1.45505

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark