The Fréchet Topp Leone-G Family of Distributions: Properties, Characterizations and Applications

Document Type

Article

Publication Date

6-2021

Publisher

Springer

Source Publication

Annals of Data Science

Source ISSN

2198-5804

Abstract

A new family of continuous distributions which ensure model flexiblity, is introduced based on the Fréchet distribution and Topp Leone-G family. Two special sub-models of the new family are discussed. We provide some distributional properties of this family in the general setting such as the series expansions of density, moments, generating function, stress strength model, Rényi and Shannon entropies, probability weighted moments and order statistics. Certain characterizations of the proposed family are presented. The maximum likelihood estimates and the observed information matrix are obtained for the model parameters. We assess the performance of the maximum likelihood estimators by means of a graphical simulation study. The potentiality of the new class is shown via two applications to real data sets.

Comments

Annals of Data Science, Vol. 8, No. 2 (June 2021): 345-366. DOI. © 2019 Springer-Verlag GmbH Germany, part of Springer Nature.

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