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Validation of trace-driven simulation models: bootstrap tests

Validation of trace-driven simulation models: bootstrap tests
Validation of trace-driven simulation models: bootstrap tests
Trace-driven (or correlated inspection) simulation means that the simulated and the real systems have some common inputs (say, historical arrival times) so that the two systems' outputs are cross-correlated. To validate such a simulation, this paper focuses on the difference between the average simulated and real responses. To evaluate this validation statistic, the paper develops a novel bootstrap technique--based on replicated runs. This validation statistic and the bootstrap technique are evaluated in extensive Monte Carlo experiments with specific single-server queues. These experiments show acceptable Type-I and Type-II error probabilities.
time series, dependence, paired observations, error rates, power
0025-1909
1533-1538
Kleijnen, Jack P.C.
ccf6daf6-ea64-4800-ab07-9565bf6839b3
Cheng, Russell C.H.
a4296b4e-7693-4e5f-b3d5-27b617bb9d67
Bettonvil, Bert
03c94bfd-3aa5-4f5e-9a27-a9920fc981dc
Kleijnen, Jack P.C.
ccf6daf6-ea64-4800-ab07-9565bf6839b3
Cheng, Russell C.H.
a4296b4e-7693-4e5f-b3d5-27b617bb9d67
Bettonvil, Bert
03c94bfd-3aa5-4f5e-9a27-a9920fc981dc

Kleijnen, Jack P.C., Cheng, Russell C.H. and Bettonvil, Bert (2001) Validation of trace-driven simulation models: bootstrap tests. Management Science, 47 (11), 1533-1538. (doi:10.1287/mnsc.47.11.1533.10255).

Record type: Article

Abstract

Trace-driven (or correlated inspection) simulation means that the simulated and the real systems have some common inputs (say, historical arrival times) so that the two systems' outputs are cross-correlated. To validate such a simulation, this paper focuses on the difference between the average simulated and real responses. To evaluate this validation statistic, the paper develops a novel bootstrap technique--based on replicated runs. This validation statistic and the bootstrap technique are evaluated in extensive Monte Carlo experiments with specific single-server queues. These experiments show acceptable Type-I and Type-II error probabilities.

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More information

Published date: 2001
Keywords: time series, dependence, paired observations, error rates, power
Organisations: Operational Research

Identifiers

Local EPrints ID: 29721
URI: http://eprints.soton.ac.uk/id/eprint/29721
ISSN: 0025-1909
PURE UUID: f87ebf6f-350f-4721-85e8-fcc2a73ef833

Catalogue record

Date deposited: 11 May 2006
Last modified: 15 Mar 2024 07:34

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Contributors

Author: Jack P.C. Kleijnen
Author: Bert Bettonvil

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