On Estimating the Parameters of the Beta Inverted Exponential Distribution under Type-II Censored Samples

Autor:	Maha A. Aldahlan, Rana A. Bakoban, Leena S. Alzahrani
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Bayes estimators beta inverted exponential distribution generalized hypergeometric function loss functions maximum likelihood estimators simulation study Mathematics QA1-939
Zdroj:	Mathematics, Vol 10, Iss 3, p 506 (2022)
Druh dokumentu:	article
ISSN:	10030506 2227-7390
DOI:	10.3390/math10030506
Popis:	This article aims to consider estimating the unknown parameters, survival, and hazard functions of the beta inverted exponential distribution. Two methods of estimation were used based on type-II censored samples: maximum likelihood and Bayes estimators. The Bayes estimators were derived using an informative gamma prior distribution under three loss functions: squared error, linear exponential, and general entropy. Furthermore, a Monte Carlo simulation study was carried out to compare the performance of different methods. The potentiality of this distribution is illustrated using two real-life datasets from difference fields. Further, a comparison between this model and some other models was conducted via information criteria. Our model performs the best fit for the real data.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/3325f521d6114db7a5d01ed42e6003ae Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.