The generalization of Latin hypercube samplingMichael D. Shields, Jiaxin Zhang2015-12-19articleReliability Engineering & System Safety656 citationsbronzeNo readable copy stored yet — this record is metadata only.Probabilistic and Robust Engineering DesignOptimal Experimental Design MethodsMathematical Approximation and IntegrationAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 656 citations exist upstream.References2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code2007Global Sensitivity Analysis. The Primer1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2001Estimation of small failure probabilities in high dimensions by subset simulation1982A distribution-free approach to inducing rank correlation among input variables1990Minimax and maximin distance designsCited by2021Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark2023Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review2020Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey2018Uncertainty quantification in multiscale simulation of woven fiber composites2020A novel learning function based on Kriging for reliability analysis2019A novel fractional moments-based maximum entropy method for high-dimensional reliability analysis2019Review of statistical model calibration and validation—from the perspective of uncertainty structures2020UQpy: A general purpose Python package and development environment for uncertainty quantification