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, Systems Science and Technology, 5, 26-32.
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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.
|Keywords:||air traffic control, simulation, experimentation, validation, statistical analysis|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Operational Research
|Date Deposited:||12 May 2006|
|Last Modified:||02 Mar 2012 13:49|
|Contributors:||Brentnall, A.R. (Author)
Cheng, R.C.H. (Author)
Drew, A. (Author)
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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