LATIN HYPERCUBE SAMPLING PDF PDF
LATIN HYPERCUBE SAMPLING PDF SERIES

Stein, M.: Large sample properties of simulations using Latin hypercube sampling. Latin Hypercube Sampling of Gaussian random field for SobolвЂ™ global sensitivity analysis of models with spatial inputs and scalar output Nathalie Saint-Geours FrГ©dГ©ric Grelot Jean-StГ©phane Bailly Cemagref, UMR G-EAU AgroParisTech, UMR TETIS F-34093, Montpellier, France F-34093, Montpellier, France, Christian. Sobol, I.: Uniformly distributed sequences with additional uniformity property. Simpson, T., Peplinski, J., Kock, P., Allen, J.: Metamodel for computer-based engineering designs: Survey and recommendations. Simpson, T., Lin, D., Chen, W.: Sampling strategies for computer experiments: Design and analysis.

LATIN HYPERCUBE SAMPLING PDF SERIES

Wiley Series in Probability and Statistics.

LATIN HYPERCUBE SAMPLING PDF PDF

A multivariate PDF that is often used to characterize continuous spatial variables is the Gaussian random field. Pistone, G., Vicario, G.: Comparing and generating Latin Hypercube designs in Kriging models. it is present in most real-world variables. Latin Hypercube Sampling (LHS) and Jittered Sampling (JS) both achieve better convergence than stan- dard Monte Carlo Sampling (MCS) by using stratification. In: Actes de MATERIAUX, Dijon, France, 2006 Petelet, M., Asserin, O., Iooss, B., Loredo, A.: Echantillonnage LHS des propriГ©tГ©s matГ©riau des aciers pour lвЂ™analyse de sensibilitГ© globale en simulation numГ©rique du soudage. ThГЁse de lвЂ™UniversitГ© de Bourgogne (2007) Petelet, M.: Analyse de sensibilitГ© globale de modГЁles thermomГ©caniques de simulation numГ©rique du soudage. Park, J.-S.: Optimal Latin-hypercube designs for computer experiments. Owen, A.: A central limit theorem for Latin hypercube sampling. McKay, M., Beckman, R., Conover, W.: A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Levy, S., Steinberg, D.: Computer experiments: A review.

Kurowicka, D., Cooke, R.: Uncertainty Analysis with High Dimensional Dependence Modelling. Kleijnen, J.: Design and Analysis of Simulation Experiments. Jourdan, A., Franco, J.: Optimal Latin hypercube designs for the Kullback-Leibler criterion.

Iooss, B., Boussouf, L., Feuillard, V., Marrel, A.: Numerical studies of the metamodel fitting and validation processes. Iman, R., Conover, W.: A distribution-free approach to inducing rank correlation among input variables. Helton, J., Davis, F.: Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Gentle, J.: Random Number Generation and Monte Carlo Methods. Wiley, New York (2008)ДЇang, K.-T., Li, R., Sudjianto, A.: Design and Modeling for Computer Experiments. Stratified sampling and Latin hypercube sampling (LHS) reduce variance, relative to nave Monte Carlo sampling, by partitioning the support of a random. (eds.): Uncertainty in Industrial Practice. 28, 667вЂ“680 (2008)Д«ursztyn, D., Steinberg, D.: Comparison of designs for computer experiments. Available at URL: Д«orgonovo, E.: Sensitivity analysis of model output with input constraints: A generalized rationale for local methods.

Papers also reflect shifts in attitudes about data analysis (e.g., less formal hypothesis testing, more fitted models via graphical analysis), and in how important application areas are managed (e.g., quality assurance through robust design rather than detailed inspection).Asserin, O., Loredo, A., Petelet, M., Iooss, B.: Global sensitivity analysis in welding simulations-What are the material data you really need? Finite Elem. This includes an emphasis on new statistical approaches to screening, modeling, pattern characterization, and change detection that take advantage of massive computing capabilities. gorical inputs, Qian (2012)proposedgeneratingasliced Latin hypercube design (SLHD) for the p continuous factors. Papers in the journal reflect modern practice. Application of proposed methodology is justified, usually by means of an actual problem in the physical, chemical, or engineering sciences. Its content features papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of statistics or science, when such papers are consistent with the journal's mission. The mission of Technometrics is to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences.

Latin hypercube sampling pdf