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The impact of sampling methods on bias and variance in stochastic linear programs · Study

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ArticleThe impact of sampling methods on bias and variance in stochastic linear programs

Michael B. Freimer2010

Article2010

The impact of sampling methods on bias and variance in stochastic linear programs

Michael B. Freimer · Jeff Linderoth · Douglas J. Thomas

39 citations·0/0 files stored·Computational Optimization and Applications

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Risk and Portfolio Optimization Advanced Optimization Algorithms Research Simulation Techniques and Applications

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References

1983Simulation Modeling and Analysis.2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 2011Introduction to Stochastic Programming 1999Simulation modeling and analysis 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1955Linear Programming under Uncertainty 2004Linear Programming Under Uncertainty 1999Monte Carlo bounding techniques for determining solution quality in stochastic programs

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Year2010

Typearticle

Published2010-03-02

VenueComputational Optimization and Applications

ISSN-L0926-6003

Languageen

Citations39

Files0 public / 0

ShelfRisk and Portfolio Optimization

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doi10.1007/s10589-010-9322-x

openalex_workW2051574074

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