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Statistical analysis of an air traffic control problem

Brentnall, A.R., Cheng, R.C.H. and Drew, A. (2004) Statistical analysis of an air traffic control problem International Journal of Simulation, 5, pp. 26-32.

Record type: Article

Abstract

A discrete-event simulation has been built to evaluate effects of scheduling strategies on Air Traffic Control. This paper considers some practical issues in the application of standard statistical methods in validation and experimentation analysis on this type of simulation model. Using the model as an example we demonstrate how careful application of a variety of statistical methods including bootstrapping, hypothesis testing, goodness-of-fit techniques, Analysis of Variance, non-parametric methods and regression are needed to gain a solid understanding of the simulation models behaviour.

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More information

Published date: 2004
Keywords: air traffic control, simulation, experimentation, validation, statistical analysis
Organisations: Operational Research

Identifiers

Local EPrints ID: 29728
URI: http://eprints.soton.ac.uk/id/eprint/29728
ISSN: 1473-8031
PURE UUID: 73cae2e0-05b8-4b9c-8e6e-c5b6dad59343

Catalogue record

Date deposited: 12 May 2006
Last modified: 17 Jul 2017 15:57

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Contributors

Author: A.R. Brentnall
Author: R.C.H. Cheng
Author: A. Drew

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