A statistical inference framework for FSNBLR: Modeling underdeveloped regional status in Eastern Indonesia

Persistent regional disparities in Indonesia, particularly in Eastern provinces, necessitate advanced modeling to understand underdevelopment determinants. This study enhances the Fourier Series Nonparametric Binary Logistic Regression (FSNBLR) model by introducing a statistical inference framework...

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主要な著者:	Muhammad Zulfadhli, I Nyoman Budiantara, Vita Ratnasari, Afiqah Saffa Suriaslan, Risdiana Chandra Dhewy
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2026-06-01
シリーズ:	MethodsX
主題:	Bernoulli distribution Binary logistic regression (BLR) Categorical data Fourier series nonparametric binary logistic regression (FSNBLR) Hypothesis test Likelihood ratio test (LRT)
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2215016125005904
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