Analysis of simulation output by resampling

Cheng, R.C.H. (2001) Analysis of simulation output by resampling International Journal of Simulation, 1, (1-2), pp. 51-58.


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Bootstrap resampling is an extremely practical and effective way of studying the distributional properties of simulation output when this is subject to random variation. The purpose of this paper is to show that many problems of sensitivity analysis (SA) and validation can be very simply handled by this method. We consider classical non-parametric version of the bootstrap and show that it can be applied in a natural way in simulation studies without becoming immersed in complicated statistical methodology. The main message of the paper is that the bootstrap method should be the statistical method of first resort in SA and validation studies.

Item Type: Article
ISSNs: 1473-8031 (print)
Related URLs:
Keywords: bootstrapping, sensitivity analysis, validation, metamodels
Organisations: Operational Research
ePrint ID: 29720
Date :
Date Event
Date Deposited: 12 May 2006
Last Modified: 16 Apr 2017 22:21
Further Information:Google Scholar

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