A Gauss-GPD hybrid model that links a Gaussian distribution to a Generalized Pareto
Distribution (GPD) is considered for asymmetric heavy tailed data. The paper proposes a …

Modelling non-homogeneous and multi-component data is a problem that challenges
scientific researchers in several fields. In general, it is not possible to find a simple and …

The use of composite models in fitting data sets with heterogeneous properties has recently
received widespread attention in the literature. In this article, a new composite model …

Ce travail propose un modele hybride pour modéliser des donnéesa deux queues lourdes.
Le modele proposé est une distributiona trois composantes pondérées: une distribution …

A hybrid Gauss-Pareto model is considered for asymmetric heavy tailed data. The paper
presents an unsupervised itera-tive algorithm to find successively the parameters of the …

A non-uniform weighted two-components distribution is proposed in the present study for
highly right skewed data modeling. We consider a G-GPD model that links a Gaussian …