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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

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Authors

AAAris AswadiIBI Nyoman BudiantaraIZIsmaini Zain

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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/68d46aa631b076d99fa673f3https://doi.org/10.20956/j.v22i1.45505
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