Discrete Erlang-2 distribution and its application to leukemia and COVID-19
AIMS Mathematics
; 8(5):10266-10282, 2023.
Article
Dans Anglais
| Scopus | ID: covidwho-2272981
ABSTRACT
Via the survival discretization method, this research revealed a novel discrete one-parameter distribution known as the discrete Erlang-2 distribution (DE2). The new distribution has numerous surprising improvements over many conventional discrete distributions, particularly when analyzing excessively dispersed count data. Moments and moments-generating functions, a few descriptive measures (central tendency and dispersion), monotonicity of the probability mass function, and the hazard rate function are just a few of the statistical aspects of the postulated distribution that have been developed. The single parameter of the DE2 distribution was estimated via the maximum likelihood technique. Real-world datasets, leukemia and COVID-19, were applied to analyze the effectiveness of the recommended distribution. © 2023 the Author(s), licensee AIMS Press.
Texte intégral:
Disponible
Collection:
Bases de données des oragnisations internationales
Base de données:
Scopus
langue:
Anglais
Revue:
AIMS Mathematics
Année:
2023
Type de document:
Article
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