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Strong orthogonal arrays and associated Latin hypercubes for computer experiments
10 references·7 citing·33 second hop
Strong orthogonal arrays and associated Latin hypercubes for computer experiments (2012)Strong orthogonal arrays and associated L…Construction of orthogonal and nearly orthogonal Latin hypercubes (2009)Construction of orthogonal an…Generalized minimum aberration for asymmetrical fractional factorial designs (2001)Generalized minimum aberratio…Orthogonal Arrays: Theory and Applications (2000)Orthogonal Arrays: Theory and…Miscellanea. A connection between uniformity and aberration in regular fractions of two-level factorials (2000)Miscellanea. A connection bet…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Minimum $G_2$-aberration for nonregular fractional factorial designs (1999)Minimum $G_2$-aberration for …Fractional Factorial Plans (1999)Fractional Factorial PlansOrthogonal Column Latin Hypercubes and Their Application in Computer Experiments (1998)Orthogonal Column Latin Hyper…Orthogonal Array-Based Latin Hypercubes (1993)Orthogonal Array-Based Latin …Minimax and maximin distance designs (1990)Minimax and maximin distance …On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments (2020)On Design Orthogonality, Maxi…Column-orthogonal strong orthogonal arrays of strength two plus and three minus (2019)Column-orthogonal strong orth…Uniform projection designs (2018)Uniform projection designsStrong orthogonal arrays of strength two plus (2018)Strong orthogonal arrays of s…Optimal maximin $L_{1}$-distance Latin hypercube designs based on good lattice point designs (2018)Optimal maximin $L_{1}$-dista…A Method of Constructing Space-Filling Orthogonal Designs (2016)A Method of Constructing Spac…A characterization of strong orthogonal arrays of strength three (2014)A characterization of strong …THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Minimum Aberration 2 k-p Designs (1980)A New Class of Supersaturated Designs (1993)An Algorithm for Constructing Orthogonal and Nearly-Orthogonal Arrays With Mixed Levels and Small Runs (2002)Uniform designs limit aliasing (2002)Geometric isomorphism and minimum aberration for factorial designs with quantitative factors (2004)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Algorithmic construction of optimal symmetric Latin hypercube designs (2000)An efficient algorithm for constructing optimal design of computer experiments (2004)Design and Analysis of Computer Experiments (1989)An overview of the design and analysis of simulation experiments for sensitivity analysis (2004)Efficient Nearly Orthogonal and Space-Filling Latin Hypercubes (2007)A construction method for orthogonal Latin hypercube designs (2006)Construction of orthogonal Latin hypercube designs (2009)Orthogonal and nearly orthogonal designs for computer experiments (2009)Computer experiments: a review (2010)Accurate emulators for large-scale computer experiments (2011)Orthogonal Arrays (1999)Experiments - Planning, Analysis and Parameter Design Optimization (2001)Minimum moment aberration for nonregular designs and supersaturated designs (2001)A Catalogue of Two-Level and Three-Level Fractional Factorial Designs with Small Runs (1993)Experimental Design and Observation for Large Systems (1996)Indicator function and its application in two-level factorial designs (2003)Lower bounds for centered and wrap-around L2-discrepancies and construction of uniform designs by threshold accepting (2003)Optimal mixed-level supersaturated design (2003)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Overview of Modern Design of Experiments Methods for Computational Simulations (Invited) (2003)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Exploratory designs for computational experiments (1995)Response Surface Methodology: A Retrospective and Literature Survey (2004)Ch. 4. Uniform experimental designs and their applications in industry (2003)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 2000Orthogonal Arrays: Theory and Applications1,079 cited
  • 1993Orthogonal Array-Based Latin Hypercubes859 cited
  • 1998Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments461 cited
  • 2001Generalized minimum aberration for asymmetrical fractional factorial designs286 cited
  • 1999Fractional Factorial Plans220 cited
  • 1999Minimum $G_2$-aberration for nonregular fractional factorial designs208 cited
  • 2000Miscellanea. A connection between uniformity and aberration in regular fractions of two-level factorials131 cited
  • 2009Construction of orthogonal and nearly orthogonal Latin hypercubes114 cited

Cited by

  • 2018Uniform projection designs69 cited
  • 2018Optimal maximin $L_{1}$-distance Latin hypercube designs based on good lattice point designs59 cited
  • 2018Strong orthogonal arrays of strength two plus57 cited
  • 2014A characterization of strong orthogonal arrays of strength three55 cited
  • 2020On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments

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54 cited
  • 2019Column-orthogonal strong orthogonal arrays of strength two plus and three minus46 cited
  • 2016A Method of Constructing Space-Filling Orthogonal Designs41 cited