Dynamic queueing networks: Simulation, estimation and prediction
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Anthony Ebert Thesis
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Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
Inspired by the problem of managing passenger flow in airport terminals, novel statistical approaches to simulation, estimation and prediction of these systems were developed. A simulation algorithm was developed with computational speed-ups of more than one hundred-fold. The computational improvement was leveraged to infer parameters governing a dynamic queueing system for the first time. Motivated by the original application, contributions to both functional data analysis as well as combined parameter and state inference were made.
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| ID Code: | 180771 |
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| Item Type: | QUT Thesis (PhD) |
| Supervisor: | Mengersen, Kerrie, Wu, Paul, & Ruggeri, Fabrizio |
| Keywords: | applied statistics, approximate Bayesian computation, Bayesian statistics, curve registration, decision support, discrete event simulation, airports, maximum mean discrepancy, queueing, queueing network |
| DOI: | 10.5204/thesis.eprints.180771 |
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Schools > School of Mathematical Sciences |
| Institution: | Queensland University of Technology |
| Deposited On: | 21 Apr 2020 00:29 |
| Last Modified: | 21 Apr 2020 00:29 |
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