A Novel Two-Parameter Compound G Family of Probability Distributions With Some Copulas, Statistical Properties and Applications

Mohamed Refaie; Hisham A. Mahran;

Abstract


In this work, we introduce a new G family with two-parameter called the compound reversed Rayleigh-G family. Several relevant mathematical and statistical properties are derived and analyzed. The new density can be heavy tail and right skewed with one peak, symmetric density, simple right skewed density with one peak, asymmetric right skewed with one peak and a heavy tail and right skewed with no peak. The new hazard function can be "upsidedown-constant", "constant", "increasing-constant", "revised J shape", "upside-down", "J shape" and "increasing". Many bivariate types have been also derived via di¤erent common copulas. The estimation of the model parameters is performed by maximum likelihood method. The usefulness and ‡exibility of the new family is illustrated by means of two real data sets.


Other data

Title A Novel Two-Parameter Compound G Family of Probability Distributions With Some Copulas, Statistical Properties and Applications
Authors Mohamed Refaie; Hisham A. Mahran 
Keywords Ali–Mikhail–Haq Copula | Compound Models | Farlie Gumbel Morgenstern Copula | Moments | Poisson Family
Issue Date 2022
Journal Statistics, Optimization & Information Computing 
ISSN 2310-5070
2311-004X
DOI 10.19139/soic-2310-5070-1436
Scopus ID 2-s2.0-85152473676

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