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Quasi Random Sampling for Operations Management

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Authors
Yang, Hongsuk
Issue Date
2006-06
Publisher
College of Business Administration (경영대학)
Citation
Seoul Journal of Business, Vol.12 No.1, pp. 53-72
Keywords
quasi random samplingstratified latin hypercube samplingquasi monte carlo simulation
Abstract
We 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.
ISSN
1226-9816
Language
English
URI
https://hdl.handle.net/10371/1821
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College of Business Administration/Business School (경영대학/대학원)Dept. of Business Administration (경영학과)Seoul Journal of Business (SJB)Seoul Journal of Business Volume 12, Number 1/2 (2006)
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