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Abstract

This paper presents a novel two-parameter G family of distributions. Relevant statistical properties such as the ordinary moments, incomplete moments and moment generating function are derived.  Using common copulas, some new bivariate type G families are derived. Special attention is devoted to the standard exponential base line model. The density of the new exponential extension can be “asymmetric and right skewed shape†with no peak, “asymmetric right skewed shape†with one peak, “symmetric shape†and “asymmetric left skewed shape†with one peak. The hazard rate of the new exponential distribution can be “increasingâ€, “U-shapeâ€, “decreasing†and “J-shapeâ€. The usefulness and flexibility of the new family is illustrated by means of two applications to real data sets. The new family is compared with many common G families in modeling relief times and survival times data sets.

Keywords

Poisson Family Generalized Weibull Family compounding Farlie-Gumbel-Morgenstern Clayton copula Modeling Lomax distribution Ali-Mikhail-Haq copula

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How to Cite
Shehata , W. A. M., Yousof, H., & Aboraya, M. (2021). A Novel Generator of Continuous Probability Distributions for the Asymmetric Left-skewed Bimodal Real-life Data with Properties and Copulas . Pakistan Journal of Statistics and Operation Research, 17(4), 943-961. https://doi.org/10.18187/pjsor.v17i4.3903
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