A likelihood control chart for monitoring bivariate lifetime processes

Autor:	Zainab Abbasi Ganji, Bahram Sadeghpour Gildeh
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	control chart bivariate exponential distribution farlie-gumbel-morgenstern copula likelihood ratio test average run length Mathematics QA1-939
Zdroj:	Journal of Mahani Mathematical Research, Vol 11, Iss 2, Pp 97-118 (2022)
Druh dokumentu:	article
ISSN:	2251-7952 2645-4505
DOI:	10.22103/jmmrc.2022.19093.1209
Popis:	In this survey, two new control charts CCLR and CCALR for bivariate exponential variables by dependence structure based on Farlie-Gumbel-Morgenstern copula model are introduced. Simulation study is done to make a comparison between two proposed control charts in terms of average run length (ARL). Results show that the CCALR performs better than CCLR. Anumerical example is provided to fortify the theoretical findings.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a10baebf6adf4b798e97f3965ac0a1f0 Zobrazit plný text záznamu View record in DOAJ