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In this paper we consider optimal allocation of computational and other resources to minimize the mean square error of the estimated performance measure when ...
Consider a performance measure that is evaluated via Monte Carlo simulation where input distributions to the underlying model may involve two stage sampling ...
Consider a performance measure that is evaluated via Monte Carlo simulation where input distributions to the underlying model may involve two stage sampling ...
Dec 3, 2006 · In the first stage, a large number of samples are generated from a distribution convenient from the sampling viewpoint. In the second stage, a ...
INTRODUCTION. Sampling designs for large-scale surveys often specify two stages of selection: clusters or primary sampling units (PSUs) at the first stage; ...
Missing: resource input
Optimal Resource Allocation in Two Stage Sampling of Input Distributions ... input distributions to the underlying model may involve two stage sampling.
The first stage generates a pre-allocation scheme as a basis, while the second stage dynamically adjusts the scheme based on observed requests and available ...
Once the user knows their total sample size, they may use the “Allocation” tab to optimize the power and determine allocation between the first and second ...
Resource allocation uses optimization models to formulate the relationship between customer demand and limited resources. We tested customers belonging to 8 ...
2 Two-stage stochastic optimization problem. The goal of the two-stage problem is to allocate resources over the unreliable stochastic network such that we ...