Analysis of Milk Production and Failure Data: Using Unit Exponentiated Half Logistic Power Series Class of Distributions

Autor:	Safar M. Alghamdi, Mansour Shrahili, Amal S. Hassan, Rokaya Elmorsy Mohamed, Ibrahim Elbatal, Mohammed Elgarhy
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	unit exponentiated half logistic distribution power series maximum product of spacing entropy measures Mathematics QA1-939
Zdroj:	Symmetry, Vol 15, Iss 3, p 714 (2023)
Druh dokumentu:	article
ISSN:	2073-8994
DOI:	10.3390/sym15030714
Popis:	The unit exponentiated half logistic power series (UEHLPS), a family of compound distributions with bounded support, is introduced in this study. This family is produced by compounding the unit exponentiated half logistic and power series distributions. In the UEHLPS class, some interesting compound distributions can be found. We find formulas for the moments, density and distribution functions, limiting behavior, and other UEHLPS properties. Five well-known estimating approaches are used to estimate the parameters of one sub-model, and a simulation study is created. The simulated results show that the maximum product of spacing estimates had lower accuracy measure values than the other estimates. Ultimately, three real data sets from various scientific areas are used to analyze the performance of the new class.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ede2908359dd42ee81a569b9e8a16522 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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