New Discrete Lifetime Distribution with Applications to Count Data

Autor: Alia M. Magar, Beih S. El-Desouky, R. S. Gomaa
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Statistical Theory and Applications (JSTA), Vol 20, Iss 2 (2021)
ISSN: 2214-1766
Popis: In this paper, we present a new class of distribution called generalized Hermite–Genocchi distribution (GHGD). This model is obtained by compounding generalized Hermite–Genocchi polynomials given by Gould and Hopper with powers series distribution. Statistical properties and reliability characteristics are studied. The model has been applied to several real data. Finally, a simulation study is performed to assess the performance of the model.
Databáze: OpenAIRE