Double-Exponential-X Family of Distributions: Properties and Applications

Kehinde Adekunle Bashiru; Taiwo Adetola Ojurongbe; Lawal Sola; Nureni .Olawale Adeboye; Habeeb Abiodun Afolabi

doi:10.30526/36.3.3377

Authors

Kehinde Adekunle Bashiru Department of Statistics, College of Technology, Osun State University, Osogbo, Nigeria
Taiwo Adetola Ojurongbe Department of Statistics, College of Technology, Osun State University, Osogbo, Nigeria https://orcid.org/0000-0001-7756-9666
Lawal Sola Department of Statistics, College of Technology, Osun State University, Osogbo, Nigeria
Nureni .Olawale Adeboye Department of Statistics, College of Technology, Osun State University, Osogbo, Nigeria https://orcid.org/0000-0002-8023-221X
Habeeb Abiodun Afolabi Department of Statistics, College of Technology, Osun State University, Osogbo, Nigeria https://orcid.org/0000-0002-8406-4508

DOI:

https://doi.org/10.30526/36.3.3377

Keywords:

Hazard Function,, stochastic Dominance, Double Exponential Distribution, Molecular Simulation

Abstract

A new family of distribution named Double-Exponential-X family is proposed. The proposed family is generated from the double exponential distribution. The forms of the probability densities and hazard functions of two distinct subfamilies of the proposed family are examined and reported. Generalproperties such as moment, survival, order statistics, probability weighted moments and quartile functions of the models are investigated. A sub family of the developed family of double –Exponential-X family of the distribution known as double-Exponential-Pareto distribution was used to fit a real life data on the use of antiretroviral drugs. Molecular simulation of efficacy of antiretroviral drugs is conducted to evaluate the performance of the model. The models were tested using some models diagnostic tests and it was revealed that the proposed model was better than the ones proposed before it from the same family and also, stochastic dominance method was used to affirm the best antiretroviral drugs used in the study.

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