The Harris Extended Bilal Distribution with Applications in Hydrology and Quality Control

Autor: Radhakumari Maya, Muhammed Rasheed Irshad, Muhammed Ahammed, Christophe Chesneau
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: AppliedMath, Vol 3, Iss 1, Pp 221-242 (2023)
Druh dokumentu: article
ISSN: 2673-9909
DOI: 10.3390/appliedmath3010013
Popis: In this research work, a new three-parameter lifetime distribution is introduced and studied. It is called the Harris extended Bilal distribution due to its construction from a mixture of the famous Bilal and Harris distributions, resulting from a branching process. The basic properties, such as the moment generating function, moments, quantile function, and Rényi entropy, are discussed. We show that the hazard rate function has ideal features for modeling increasing, upside-down bathtub, and roller-coaster data sets. In a second part, the Harris extended Bilal model is investigated from a statistical viewpoint. The maximum likelihood estimation is used to estimate the parameters, and a simulation study is carried out. The flexibility of the proposed model in a hydrological data analysis scenario is demonstrated using two practical data sets and compared with important competing models. After that, we establish an acceptance sampling plan that takes advantage of all of the features of the Harris extended Bilal model. The operating characteristic values, the minimum sample size that corresponds to the maximum possible defects, and the minimum ratios of lifetime associated with the producer’s risk are discussed.
Databáze: Directory of Open Access Journals