A new distribution function with bounded support: the reflected Generalized Topp-Leone Power Series distribution

TL;DR

This paper introduces a new flexible distribution class with bounded support, called reflected Generalized Topp-Leone Power Series (rGTL-PS), useful for modeling data in reliability and other fields.

Contribution

It proposes a novel distribution class by combining reflected Generalized Topp-Leone and Power Series distributions, including several new special cases.

Findings

Derived moments, hazard rate, and quantile functions for the new class.

Maximum likelihood estimation and Fisher information matrix are provided.

Applications to real data demonstrate the usefulness of the new distributions.

Abstract

In this paper we introduce a new flexible class of distributions with bounded support, called reflected Generalized Topp-Leone Power Series (rGTL-PS), obtained by compounding the reflected Generalized Topp-Leone (van Drop and Kotz, 2006) and the family of Power Series distributions. The proposed class includes, as special cases, some new distributions with limited support such as the rGTL-Logarithmic, the rGTL-Geometric, the rGTL-Poisson and rGTL-Binomial. This work is an attempt to partially fill a gap regarding the presence, in the literature, of continuous distributions with bounded support, which instead appear to be very useful in many real contexts, included the reliability. Some properties of the class, including moments, hazard rate and quantile are investigated. Moreover, the maximum likelihood estimators of the parameters are examined and the observed Fisher information matrix provided. Finally, in order to show the usefulness of the new class, some applications to real data are reported.