We introduce a new class of continuous distributions called the transmuted exponentiated generalized-G
family which extends the exponentiated generalized-G class introduced by Cordeiro et al. (2013). We
provide some special models for the new family. Some of its mathematical properties including explicit
expressions for the ordinary and incomplete moments, generating function, Rényi and Shannon entropies,
order statistics and probability weighted moments are derived. The estimation of the model parameters is
performed by maximum likelihood. The flexibility of the proposed family is illustrated by means of an
application to a real dataset.