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MIXED-EFFECT MODELS WITH RESTRICTED MAXIMUM LIKELIHOOD (REML), BOOT-STRAPPED REML AND BAYESIAN INFERENCE IN APPLICATION OF GAPMINDER DATA

Mixed effects model combines fixed effects and random effects, allowing for the analysis of data with both fixed and random variations. This modeling approach is widely utilized across various fields. In R, the lme4 package is commonly employed to estimate mixed effects models using Restricted Maxi...

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Principais autores: Asysta Amalia Pasaribu, Kusman Sadik, Anang Kurnia
Formato: Artigo
Idioma:Inglês
Publicado em: Universitas Pattimura 2026-04-01
coleção:Barekeng
Assuntos:
Bayesian MCMC
Bayesian theorem
Boot-Strapped REML
Gapminder data
REML
Acesso em linha:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/20773
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