On the distribution of points in a cube and the approximate evaluation of integrals

On irregularities ofdistributionOn irregularities of distributionLinear RecurringSequencesLinear Recurring SequencesOn the efficiency ofcertain quasi-random…On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integralsThe evaluation ofmultidimensional…The evaluation of multidimensional integralsQuasi-Monte Carlomethods and…Quasi-Monte Carlo methods and pseudo-random numbersOn the Systematic Searchin a HypercubeOn the Systematic Search in a HypercubeLow-discrepancy pointsets obtained by digita…Low-discrepancy point sets obtained by digital constructions over finite fieldsImportance measures inglobal sensitivity…Importance measures in global sensitivity analysis of nonlinear modelsSensitivity analysis inmodel calibration…Sensitivity analysis in model calibration: GSA-GLUE approachStrong tractability ofmultivariate integratio…Strong tractability of multivariate integration using quasi-Monte Carlo algorithmsUncertainty andSensitivity Analysis…Uncertainty and Sensitivity Analysis Techniques as Tools for the Quality Assessment of Composite IndicatorsCreating compositeindicators with DEA and…Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement IndexA review on design,modeling and…A review on design, modeling and applications of computer experimentsComparing sensitivityanalysis methods to…Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluationCharacterization ofwatershed model behavio…Characterization of watershed model behavior across a hydroclimatic gradientExploring snow modelparameter sensitivity…Exploring snow model parameter sensitivity using Sobol' variance decompositionOn the distribution ofpoints in a cube and th…On the distribution of points in a cube and the approximate evaluation of integrals過去の参考文献中心の論文この論文を引用する論文古い新しい

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