Ramadan A. ZeinEldin1,2, Christophe Chesneau3,*, Farrukh Jamal4, Mohammed Elgarhy5, Abdullah M. Almarashi6, Sanaa Al-Marzouki6
CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 791-819, 2021, DOI:10.32604/cmes.2021.012169
Abstract Understanding a phenomenon from observed data requires contextual and efficient statistical models. Such models
are based on probability distributions having sufficiently flexible statistical properties to adapt to a maximum of
situations. Modern examples include the distributions of the truncated Fréchet generated family. In this paper,
we go even further by introducing a more general family, based on a truncated version of the generalized Fréchet
distribution. This generalization involves a new shape parameter modulating to the extreme some central and
dispersion parameters, as well as the skewness and weight of the tails. We also investigate the main functions of the
new… More >