Flexible power-normal models with applications

Martínez-Flórez G.; Gallardo D.I.; Venegas O.; Bolfarine H.; Gómez H.W.

Keywords: Bimodal asymmetric distribution; Fisher information matrix; Maximum likelihood estimators; Moments; Power normal distribution

Abstract

The main object of this paper is to propose a new asymmetric model more flexible than the generalized Gaussian model. The probability density function of the new model can assume bimodal or unimodal shapes, and one of the parameters controls the skewness of the model. Three simulation studies are reported and two real data applications illustrate the flexibility of the model compared with traditional proposals in the literature.

Más información

Título según SCOPUS: Flexible power-normal models with applications
Título de la Revista: Mathematics
Volumen: 9
Número: 24
Editorial: Multidisciplinary Digital Publishing Institute (MDPI)
Fecha de publicación: 2021
Idioma: English
DOI:

10.3390/math9243183

Notas: SCOPUS