Comparison of Some of Estimation methods of Stress-Strength Model: R = P(Y < X < Z)

Autor:	Sairan Hamza Raheem, Bayda Atiya Kalaf, Abbas Najim Salman
Jazyk:	Arabic<br />English
Rok vydání:	2021
Předmět:	Stress-Strength Model Inverse Rayleigh Distribution Least Square Estimator Maximum Likelihood Method Estimator Moment method Uniformly Minimum Variance Unbiased Method Shrinkage Methods. Science
Zdroj:	Baghdad Science Journal, Vol 18, Iss 2(Suppl.) (2021)
Druh dokumentu:	article
ISSN:	2078-8665 2411-7986
DOI:	10.21123/bsj.2021.18.2(Suppl.).1103
Popis:	In this study, the stress-strength model R = P(Y < X < Z) is discussed as an important parts of reliability system by assuming that the random variables follow Invers Rayleigh Distribution. Some traditional estimation methods are used to estimate the parameters namely; Maximum Likelihood, Moment method, and Uniformly Minimum Variance Unbiased estimator and Shrinkage estimator using three types of shrinkage weight factors. As well as, Monte Carlo simulation are used to compare the estimation methods based on mean squared error criteria.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/94b92c633a2f4945ae481cb3f43aae54 Zobrazit plný text záznamu View record in DOAJ