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All Journal Zero : Jurnal Sains, Matematika, dan Terapan
Septi Nafisa Ulluya Zahra
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Agriculture, Biological Sciences & Forestry Chemistry Mathematics Physics

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Bayesian Nonparametric Truncated Spline Regression for Modeling Nutritional and Physical Stunting Septi Nafisa Ulluya Zahra; Adji Ahmad Rinaldo Fernandes; Achmad Efendi; Alfiyah Hanun Nasywa; Fachira Haneinanda Junianto
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 2 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i2.26759

Abstract

Stunting is a problem that is affected by the socioeconomic and environmental conditions of the public. The present study evaluates the impact of the financial state, environmental quality, and child feeding practices on the nutritional and physical stunting using a Bayesian nonparametric truncated spline regression model. To do this, a single knot spline structure was used a capture non-linear affects and thresholds, posterior estimation being conductied with Gibb's sampling. The results exhibit that all of the three predictors have a significance after the knot point on the right arrives, indiacting to saturation affects. As for the economic standing and the environmental quality, their effect is consistent, while feeding practices hold a more considerable impact on the nutritional stunting. From model diagnostics, the model had a good fit and predictive accuracy. The results highlight the importance of feeding practices and economic improvement and environmental sanitation, and display the benefits of the Bayesian spline technique for handling complex data.
Co-Authors Achmad Efendi Adji Ahmad Rinaldo Fernandes Alfiyah Hanun Nasywa Fachira Haneinanda Junianto