  The beta model is the most important distribution for fitting data with the
unit interval. However, the beta distribution is not suitable to model bimodal
unit interval data. In this paper, we propose a bimodal beta distribution
constructed by using an approach based on the alpha-skew-normal model. We
discuss several properties of this distribution such as bimodality, real
moments, entropy measures and identifiability. Furthermore, we propose a new
regression model based on the proposed model and discuss residuals. Estimation
is performed by maximum likelihood. A Monte Carlo experiment is conducted to
evaluate the performances of these estimators in finite samples with a
discussion of the results. An application is provided to show the modelling
competence of the proposed distribution when the data sets show bimodality.
