A New Version of the Exponentiated Exponential Distribution: Copula, Properties and Application to Relief and Survival Times

  • Hanaa Elgohari Department of applied statistics, Faculty of commerce, Mansoura University, Egypt
Keywords: Exponentiated Exponential;, Morgenstern family;, Clayton Copula;, Real Data Modeling;, Hazard Function.

Abstract

In this paper, we introduce a new generalization of the Exponentiated Exponential distribution. Various structural mathematical properties are derived. Numerical analysis for mean, variance, skewness and kurtosis and the dispersion index is performed. The new density can be right skewed and symmetric with "unimodal" and "bimodal" shapes. The new hazard function can be "constant", "decreasing", "increasing", "increasing-constant", "upside down-constant", "decreasing nstant". Many bivariate and multivariate type model have been also derived. We assess the performance of the maximum likelihood method graphically via the biases and mean squared errors. The usefulness and flexibility of the new distribution is illustrated by means of two real data sets.

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Published
2021-03-29
How to Cite
Elgohari, H. (2021). A New Version of the Exponentiated Exponential Distribution: Copula, Properties and Application to Relief and Survival Times. Statistics, Optimization & Information Computing, 9(2), 311-333. https://doi.org/10.19139/soic-2310-5070-1093
Section
Research Articles