A Bimodal Extension of the Epsilon-Skew-Normal Model

This article introduces a bimodal model based on the epsilon-skew-normal distribution. extension generates distributions similar to those produced by mixture of normal distributions. We study basic properties this new family. apply maximum likelihood estimators, calculate information matrix and present simulation assess parameter recovery. Finally, we illustrate results three real data sets, suggesting distribution as plausible alternative for modelling data.