Log-Extended Exponential–Geometric Distribution: Moments and Inference Based on Generalized Order Statistics

Autor:	Areej M. AL-Zaydi
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	best linear unbiased estimators generalized order statistics log-extended exponential–geometric distribution product moments recurrence relations single moments Mathematics QA1-939
Zdroj:	Symmetry, Vol 15, Iss 10, p 1857 (2023)
Druh dokumentu:	article
ISSN:	2073-8994
DOI:	10.3390/sym15101857
Popis:	In this paper, we provide explicit expressions as well as recurrence relations for the single and product moments of generalized order statistics from the log-extended exponential–geometric distribution. These relations are utilized to discuss the special cases of generalized order statistics, and some numerical computations are carried out. Further, we use these results to obtain the best linear unbiased estimators for the location and scale parameters based on progressively Type-II right censored samples. Finally, a real data application is presented.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/26c46959903e48ad91d3b1421fedecc8 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.