  In this paper we propose a bimodal gamma distribution using a quadratic
transformation based on the alpha-skew-normal model. We discuss several
properties of this distribution such as mean, variance, moments, hazard rate
and entropy measures. Further, we propose a new regression model with censored
data based on the bimodal gamma distribution. This regression model can be very
useful to the analysis of real data and could give more realistic fits than
other special regression models. Monte Carlo simulations were performed to
check the bias in the maximum likelihood estimation. The proposed models are
applied to two real data sets found in literature.
