Brazilian Journal of Probability and Statistics

The exp-$G$ family of probability distributions

Wagner Barreto-Souza and Alexandre B. Simas

Full-text: Open access

Abstract

In this paper we introduce a new method to add a parameter to a family of distributions. The additional parameter is completely studied and a full description of its behaviour in the distribution is given. We obtain several mathematical properties of the new class of distributions such as Kullback–Leibler divergence, Shannon entropy, moments, order statistics, estimation of the parameters and inference for large sample. Further, we show that the new distribution has the reference distribution as special case, and that the usual inference procedures also hold in this case. We present a comprehensive study of two special cases of the exp-$G$ class: exp-Weibull and exp-beta distributions. Further, an application to the real data set is presented. This family also opens a wide variety of research, as the authors may develop its special cases in full detail.

Article information

Source
Braz. J. Probab. Stat., Volume 27, Number 1 (2013), 84-109.

Dates
First available in Project Euclid: 16 October 2012

Permanent link to this document
https://projecteuclid.org/euclid.bjps/1350394631

Digital Object Identifier
doi:10.1214/11-BJPS157

Mathematical Reviews number (MathSciNet)
MR2991780

Zentralblatt MATH identifier
1272.60008

Keywords
Exp-$G$ distribution order statistics Kullback–Leibler divergence Fisher’s information matrix

Citation

Barreto-Souza, Wagner; Simas, Alexandre B. The exp-$G$ family of probability distributions. Braz. J. Probab. Stat. 27 (2013), no. 1, 84--109. doi:10.1214/11-BJPS157. https://projecteuclid.org/euclid.bjps/1350394631


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