The bootstrap is a simple but versatile technique for the statistical analysis of random simulations. This tutorial explains the basics of that technique, and applies it to the well-known M/M/1 queuing simulation. In that numerical example, different responses are studied. For some responses, bootstrapping indeed gives better statistical results than parametric statistical techniques do.
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Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number
58.
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