Modeling longitudinal zero-inflated data: Crysodeixis includens behavior

Allison Oliveira, University os São Paulo

Co-authors: Lucas Silva Barros, University of São Paulo; Pedro Takao Yamamoto, University of São Paulo; César Gonçalves de Lima, University of São Paulo

Abstract: In this paper, we assessed the performance of four main distributions present in the literature through generalized linear mixed-effects models methodology to handle a scenario with zero-inflated data in the modeling of Crysodeixis includens behavior in the presence of Integrated Pest Management strategies, considering a real data set and a simulation study.