Parameter Estimation of Mixed Geographically Weighted Bivariate Zero-Inflated Negative Binomial Regression Model

The Bivariate Zero-Inflated Negative Binomial (BZINBR) regression model is commonly used to analyze two correlated count response variables characterized by overdispersion and excess zeros. To account for spatial heterogeneity in predictor effects, the BZINBR model has been extended into the Geograp...

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Bibliografiset tiedot

Päätekijät:	Mawadah Putri Islamiati, Purhadi Purhadi, Wibawati Wibawati
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Department of Mathematics, Universitas Negeri Gorontalo 2025-07-01
Sarja:	Jambura Journal of Mathematics
Aiheet:	bivariate zero-inflated negative binomial mixed geographically weighted regression spatial heterogeneity maximum likelihood estimation bhhh algorithm excess zeros
Linkit:	https://ejurnal.ung.ac.id/index.php/jjom/article/view/32711
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