G. Cordeiro, E. Ortega, Daniel C. C. da Cunha
2021.7.30Journal of Data Science
Abstract
We propose a new method of adding two parameters to a contin- uous distribution that extends the idea rst introduced by Lehmann (1953) and studied by Nadarajah and Kotz (2006). This method leads to a new class of exponentiated generalized distributions that can be interpreted as a double construction of Lehmann alternatives. Some special models are dis- cussed. We derive some mathematical properties of this class including the ordinary moments, generating function, mean deviations and order statis- tics. Maximum likelihood estimation is investigated and four applications to real data are presented.
Citation format
CORDEIRO, G.; ORTEGA, E.; CUNHA, Daniel C. C. da. The exponentiated generalized class of distributions. Journal of Data Science, 2021.