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Diagnóstico de influência e validação em modelos não lineares com efeitos mistos
Nonlinear mixed-effects (NLME) models are a widely used statistical tool for modeling data with hierarchical structure and nonlinear relationships among variables. Despite their flexibility, the adequacy and robustness of NLME models depend on careful evaluations of the influence of individual obser
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