Bayesian inference and prediction in an queueing system-Reference-Cited by-同舟云学术

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Bayesian inference and prediction in an queueing system

Published:2022-05-24 Issue: Volume: Page:1-21
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Singh Saroja Kumar¹^ORCID,Acharya Sarat Kumar²,Cruz Frederico R. B.³^ORCID,Quinino Roberto C.³^ORCID

Affiliation:

1. Department of Statistics, Central University of Odisha, Sunabeda, Koraput, Odisha, India

2. Department of Statistics, Sambalpur University, Sambalpur, Odisha, India

3. Departamento de Estatística, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazilva

Funder

FAPEMIG

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

CNPq

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2022.2076120

Reference42 articles.

1. A note on Bayesian estimation of traffic intensity in single-server Markovian queues

2. Bayesian inference in Markovian queues

3. Bayesian prediction inM/M/1 queues

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Change point estimation of service rate in M/M/1/m queues: A Bayesian approach;Applied Mathematics and Computation;2024-03

2. Bayesian estimation of finite buffer size in single server Markovian queuing system;International Journal of System Assurance Engineering and Management;2024-02-02

3. Nonparametric Estimation for Multi-server Queues Based on the Number of Clients in the System;Sankhya A;2024-02

4. Algorithms for Determination of Sample Sizes for Bayesian Estimations in Single-Server Markovian Queues;American Journal of Mathematical and Management Sciences;2023-10-02

5. Classical and Bayesian estimations of performance measures in a single server Markovian queueing system based on arrivals during service times;Communications in Statistics - Theory and Methods;2023-01-03

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