Latin hypercube sampling of Gaussian random fields Export

@article{citeulike:3505291, abstract = {Following the method of Stein, this article shows how a Latin hypercube sample can be drawn from a Gaussian random field. In a case study the efficiency of Latin hypercube sampling is compared experimentally to that of simple random sampling. The model outputs studied are the mean and the 5- and 95-percentile of the areal fraction where point concentration of zinc in the topsoil exceeds a given threshold. The Latin hypercube sampling procedure slightly distorts the short-distance correlation, and in an artificial example, it is shown that this distortion is modest for small samples and vanishes for large samples.}, address = {Alexandria, Va, USA}, author = {Pebesma, Edzer J. and Heuvelink, Gerard B. M.}, citeulike-article-id = {3505291}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=335656}, citeulike-linkout-1 = {http://dx.doi.org/10.2307/1271347}, citeulike-linkout-2 = {http://www.jstor.org/stable/1271347}, doi = {10.2307/1271347}, issn = {0040-1706}, journal = {Technometrics}, number = {4}, pages = {303--312}, posted-at = {2009-07-01 13:55:17}, priority = {0}, publisher = {American Society for Quality Control and American Statistical Association}, title = {Latin hypercube sampling of Gaussian random fields}, url = {http://dx.doi.org/10.2307/1271347}, volume = {41}, year = {1999} }

TY - JOUR ID - citeulike:3505291 L3 - citeulike-article-id:3505291 N2 - Following the method of Stein, this article shows how a Latin hypercube sample can be drawn from a Gaussian random field. In a case study the efficiency of Latin hypercube sampling is compared experimentally to that of simple random sampling. The model outputs studied are the mean and the 5- and 95-percentile of the areal fraction where point concentration of zinc in the topsoil exceeds a given threshold. The Latin hypercube sampling procedure slightly distorts the short-distance correlation, and in an artificial example, it is shown that this distortion is modest for small samples and vanishes for large samples. IS - 4 JF - Technometrics SN - 0040-1706 AD - Alexandria, Va, USA EP - 312 TI - Latin hypercube sampling of Gaussian random fields PB - American Society for Quality Control and American Statistical Association VL - 41 SP - 303 AU - Pebesma, Edzer AU - Heuvelink, Gerard PY - 1999/// UR - http://dx.doi.org/10.2307/1271347 ER -