The odd inverse Pareto-G class: properties and applications

Volume 12, Issue 5, pp 278--290 http://dx.doi.org/10.22436/jnsa.012.05.02 Publication Date: December 14, 2018       Article History

Authors

Maha A. Aldahlan - Statistics Department, Faculty of Science, King Abdulaziz University, Jaddeh, KSA. - Statistics Department, Faculty of Science, University of Jeddah, Jaddeh, KSA. Ahmed Z. Afify - Department of Statistics, Mathematics and Insurance, Benha University, Egypt. A-Hadi N. Ahmed - Department of mathematical statistics, ISSR, Cairo University, Egypt.


Abstract

We introduce a new family of continuous distributions called the \textit{odd inverse Pareto-G} class which extends the exponentiated-G family due to Gupta et al. [R. C. Gupta, P. L. Gupta, R. D. Gupta, Comm. Statist. Theory Methods, \(\textbf{27}\) (1998), 887--904] and the Marshall-Olkin-G class due to Marshall and Olkin [A. W. Marshall, I. Olkin, Biometrika, \(\textbf{84}\) (1997), 641--652]. We define and study two special models of the proposed family which are capable of modeling various shapes of aging and failure criteria. The special models of this family can provide reversed J-shape, symmetric, left skewed, right skewed, unimodal or bimodal shapes for the density function. Some of its mathematical properties are derived. The maximum likelihood method is used to estimate the model parameters. By means of four real data sets we show that the special models of this family have superior performance over several existing distributions.


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