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.

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Description/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.

Item Type: Article
ISSNs: 1473-8031 (print)
Related URLs:
Keywords: air traffic control, simulation, experimentation, validation, statistical analysis
Subjects:
Organisations: Operational Research
ePrint ID: 29728
Date :
Date Event
2004Published
Date Deposited: 12 May 2006
Last Modified: 16 Apr 2017 22:21
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/29728

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