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Quasi Random Sampling for Operations Management

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dc.contributor.authorYang, Hongsuk-
dc.date.accessioned2009-03-04T04:30:44Z-
dc.date.available2009-03-04T04:30:44Z-
dc.date.issued2006-
dc.identifier.citationSeoul Journal of Business Vol12(1): 53~72(2006)en
dc.identifier.issn1226-9816-
dc.identifier.urihttp://hdl.handle.net/10371/1821-
dc.description.abstractWe look at the benefits of using a kind of quasi-random numbers to
obtain more accurate results for a given number of simulation runs. We
explore a sampling method with enhanced independence in multidimensional
simulations by combining the ideas of stratified sampling
and Latin Hypercube sampling. We test the new sampling method by
comparing it with traditional stratified sampling and Latin Hypercube
sampling applied to various operations management problems.
en
dc.language.isoen-
dc.publisherCollege of Business Administration (경영대학)en
dc.subjectquasi random samplingen
dc.subjectstratified latin hypercube samplingen
dc.subjectquasi monte carlo simulationen
dc.titleQuasi Random Sampling for Operations Managementen
dc.typeSNU Journalen
dc.contributor.AlternativeAuthor양홍석-
Appears in Collections:
College of Business Administration/Business School (경영대학/대학원)Dept. of Business Administration (경영학과)Seoul Journal of BusinessSeoul Journal of Business Volume 12, Number 1/2 (2006)
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