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Liefvendahl, M., Stocki, R.: A study on algorithms for optimization of Latin hypercubes. In: Inference Control in Statistical Databases, Springer, pp. In: Proceedings of the 12th International Probabilistic Workshop, Weimar (2014)ĭandekar, R.A., Cohen, M., Kirkendall, N.: Sensitive micro data protection using Latin hypercube sampling technique. The calculator, developed using the Analytica programming software, employs Monte Carlo simulation methods with Latin Hypercube Sampling (LHS) to estimate a. Schmidt, R., Voigt, M., Vogeler, K.: Extension of Latin hypercube samples while maintaining the correlation structure. Huntington, D.E., Lyrintzis, C.S.: Improvements to and limitations of Latin hypercube sampling. Sallaberry, C., Helton, J., Hora, S.: Extension of Latin hypercube samples with correlated variables. Vořechovský, M., Novák, D.: Correlation control in small-sample Monte Carlo type simulations I: a simulated annealing approach. Vořechovský, M.: Hierarchical refinement of Latin hypercube samples. In: 4th International Workshop on Reliable Engineering Computing (2010) Vořechovský, M.: Extension of sample size in Latin hypercube sampling with correlated variables. Tong, C.: Refinement strategies for stratified sampling methods. In: 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, University of Texas at San Antonio (2005) In graph theory, the hypercube graph Qn is the graph formed from the vertices and edges of an n-dimensional hypercube. Pleming, J.B., Manteufel, R.D.: Replicated Latin hypercube sampling.
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