L. Jeff Hong's Research Group
L. Jeff Hong's Research Group
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Speeding up pairwise comparisons for large scale ranking and selection
A statistical perspective on linear programs with uncertain parameters
Input uncertainty and indifference-zone ranking and selection
Robust simulation of stochastic systems with input uncertainties modeled by statistical divergences
A frequentist selection-of-the-best procedure without indifference zone
Scaling and modeling of call center arrivals
Linking estimation and performance evaluation through simulation
Robust selection of the best
Large-scale ranking and selection using cloud computing
Monte Carlo estimation of value-at-risk, conditional value-at-risk and their sensitivities
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