Dealing with variability in ecological modelling: An analysis of a random non‐autonomous logistic population model

This paper presents a methodology to deal with the randomness associated ecological modelling. Data variability makes it necessary analyse impact of random perturbations on fitted model parameters. We conduct such analysis for logistic growth certain sigmoid functional form carrying capacity, which was proposed in literature study parasite during infection. show how probability distributions parameters are set via maximum entropy principle. Then variable transformation method allows computing density function population.