Zero-inflated-censored Weibull and gamma regression models to estimate wild boar population dispersal distance

Abstract The dynamics of the wild boar population has become a pressing issue not only for ecological purposes, but also agricultural and livestock production. data related to dispersal distance can have complex structure, including excess zeros right-censored observations, thus being challenging modeling. In this sense, we propose two different zero-inflated-right-censored regression models, assuming Weibull gamma distributions. First, present construction likelihood function, then, apply both models simulated datasets, demonstrating that behave well. simulation results point consistency asymptotic unbiasedness developed methods. Afterwards, adjusted dataset dispersal, zeros, covariates: age sex. We showed were useful extract inferences about correctly describing mimicking situation where males disperse more than females, positive effect on boars. These are overcome some limitations regarding in especially concerning boar’s population. Users will be provided with an R function run proposed models.