Change point estimation in an M/M/2 queue with heterogeneous servers

Singh, Saroja Kumar; Acharya, Sarat Kumar; Cruz, Frederico Rodrigues Borges da; Cançado, André Luiz Fernandes

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Campo DC	Valor	Idioma
dc.contributor.author	Singh, Saroja Kumar	-
dc.contributor.author	Acharya, Sarat Kumar	-
dc.contributor.author	Cruz, Frederico Rodrigues Borges da	-
dc.contributor.author	Cançado, André Luiz Fernandes	-
dc.date.accessioned	2025-09-24T15:43:28Z	-
dc.date.available	2025-09-24T15:43:28Z	-
dc.date.issued	2023-05-06	-
dc.identifier.citation	SINGH, Saroja Kumar; ACHARYA, Sarat Kumar; CRUZ, Frederico Rodrigues Borges da; CANÇADO, André Luiz Fernandes. Change point estimation in an M/M/2 queue with heterogeneous servers. Mathematics and Computers in Simulation, [S.l], v. 212, p. 182-194, 2023. DOI: https://doi.org/10.1016/j.matcom.2023.04.022. Disponível em: https://www.sciencedirect.com/science/article/pii/S0378475423001775?via%3Dihub. Acesso em: 02 jun. 2025.	pt_BR
dc.identifier.uri	http://repositorio.unb.br/handle/10482/52499	-
dc.language.iso	eng	pt_BR
dc.publisher	Elsevier	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	Change point estimation in an M/M/2 queue with heterogeneous servers	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Estimação de máxima verossimilhança	pt_BR
dc.subject.keyword	Simulação de Monte Carlo	pt_BR
dc.subject.keyword	Teoria das filas	pt_BR
dc.identifier.doi	https://doi.org/10.1016/j.matcom.2023.04.022	pt_BR
dc.relation.publisherversion	https://www.sciencedirect.com/science/article/pii/S0378475423001775?via%3Dihub	pt_BR
dc.description.abstract1	The change point problem in the inter-arrival time of an M/M/2 queue with heterogeneous servers is studied here. In this model, it is assumed that the queue is in a steady state and that customers are served by the fastest available server and that there is no transfer of customers between servers. Maximum likelihood estimators are deducted for the arrival rates after and before the change point and for the service rates. Monte Carlo simulation results are presented that attest to the effectiveness and efficiency of the deduced estimators.	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0003-2558-1836	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0002-6349-5624	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0001-5842-5544	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0002-7019-8521	pt_BR
dc.contributor.affiliation	Ravenshaw University, Department of Statistics	pt_BR
dc.contributor.affiliation	Sambalpur University, Department of Statistics	pt_BR
dc.contributor.affiliation	Universidade Federal de Minas Gerais, Departamento de Estatística	pt_BR
dc.contributor.affiliation	Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Estatística, Programa de Pós-Graduação em Estatística	pt_BR
dc.description.unidade	Instituto de Ciências Exatas (IE)	pt_BR
dc.description.unidade	Departamento de Estatística (IE EST)	pt_BR
dc.description.ppg	Programa de Pós-Graduação em Estatística	pt_BR
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