Abstract
Zero-inflated regression models are used to fit response variables that assume the zero value more frequently than expected bya known probability distribution. In this work, we focus on response variables whose distribution is a mixture of a continuous distribution and a degenerate distribution that assigns non-negative probability to zero. The aim of this work is to obtain adjusted resid…