Title:
Topics in the statistical aspects of simulation
Topics in the statistical aspects of simulation
Author(s)
McDonald, Joshua L.
Advisor(s)
Goldsman, David
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Abstract
We apply various variance reduction techniques to the estimation of Asian averages and options and propose an easy-to-use quasi-Monte Carlo method that can provide significant variance reductions with minimal increases in computational time. We have also extended these techniques to estimate higher moments of the Asians. We then use these estimated moments to efficiently implement Gram--Charlier based estimators for probability density functions of Asian averages and options. Finally, we investigate a ranking and selection application that uses post hoc analysis to determine how the circumstances of procedure termination affect the probability of correct selection.
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Date Issued
2015-08-19
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Text
Resource Subtype
Dissertation