Some Methods to Estimate the Parameters of Generalized Exponential Rayleigh Model by Simulation

Autor:	Rehab Noori Shalan, Iden Hassan Alkanani
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	Maximum Likelihood Estimator Method Moment estimator method and Rank Set Sampling Estimator Method Electronic computers. Computer science QA75.5-76.95
Zdroj:	Iraqi Journal for Computer Science and Mathematics, Vol 4, Iss 2 (2023)
Druh dokumentu:	article
ISSN:	2958-0544 2788-7421
DOI:	10.52866/ijcsm.2023.02.02.010
Popis:	This paper shews how to estimate the parameter of generalized exponential Rayleigh (GER) distribution by three estimation methods. The first one is maximum likelihood estimator method the second one is moment employing estimation method (MEM), the third one is rank set sampling estimator method (RSSEM)The simulation technique is used for all these estimation methods to find the parameters for generalized exponential Rayleigh distribution. Finally using the mean squares error criterion to compare between these estimation methods to find which of these methods are best to the others
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/caf64d9b44e4433aba5427cbecce6870 Zobrazit plný text záznamu View record in DOAJ