Nonparametric Estimation for Multi-server Queues Based on the Number of Clients in the System
Author:
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação de Amparo á Pesquisa do Estado de Minas Gerais
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13171-023-00331-9.pdf
Reference58 articles.
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2. Acharya, S.K., Singh, S.K., and Villarreal-Rodríguez, C.E. (2020). Asymptotic study on change point problem for waiting time data in a single server queue. International Journal of Management Science and Engineering Management, 15(1):39–46.
3. Almehdawe, E., Jewkes, B., and He, Q.-M. (2013). A Markovian queueing model for ambulance offload delays. European Journal of Operational Research, 226(3):602–614.
4. Almeida, M.A.C. and Cruz, F.R.B. (2018). A note on Bayesian estimation of traffic intensity in single-server Markovian queues. Communications in Statistics - Simulation & Computation, 47(9):2577–2586.
5. Almeida, M.A.C., Cruz, F.R.B., Oliveira, F.L.P., and de Souza, G. (2020). Bias correction for estimation of performance measures of a Markovian queue.Operational Research, 20(2):943–958.
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