A new class of discrete distributions with complex parameters

In this paper we present a new family of Pearson’s discrete distributions that may be obtained when the second polynomial coefficient in the difference equation does not have real solutions. We study its most important probabilistic properties, convergence results and the problem of estimation. To conclude, we present two examples illustrating the optimum level of fit achieved in the description of real data obtained from the field of sport and compare them with some other discrete distributions.