Using integer programming techniques for the solution of an experimental design problem

DOI10.1007/BF02032134zbMath0837.62061OpenAlexW2033069637MaRDI QIDQ1904719

Carl M. Harris, Leslie-Ann Yarrow, Karla L. Hoffman

Publication date: 20 May 1996

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02032134

zbMATH Keywords

optimizationestimationsensitivity analysispermutation matrixpolynomial algorithmLatin hypercube samplinglarge-scale modellingdistribution samplinggeneralized, multi-dimensional assignment problem

Mathematics Subject Classification ID

Design of statistical experiments (62K99) Applications of mathematical programming (90C90) Integer programming (90C10) Orthogonal arrays, Latin squares, Room squares (05B15) Discrete location and assignment (90B80)

Related Items (2)

Optimizing experimental design in genetics ⋮ Variance reduction for sequential sampling in stochastic programming

Cites Work

• Small sample sensitivity analysis techniques for computer models.with an application to risk assessment
• A distribution-free approach to inducing rank correlation among input variables
• Obtaining minimum-correlation Latin hypercube sampling plans using an IP-based heuristic
• Facets of the three-index assignment polytope
• Controlling Correlations in Latin Hypercube Samples
• Validation of subgradient optimization

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