Publications
Detailed Information
Quasi Random Sampling for Operations Management
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yang, Hongsuk | - |
| dc.date.accessioned | 2009-03-04T04:30:44Z | - |
| dc.date.available | 2009-03-04T04:30:44Z | - |
| dc.date.issued | 2006-06 | - |
| dc.identifier.citation | Seoul Journal of Business, Vol.12 No.1, pp. 53-72 | - |
| dc.identifier.issn | 1226-9816 | - |
| dc.identifier.uri | https://hdl.handle.net/10371/1821 | - |
| dc.description.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. | - |
| dc.language.iso | en | - |
| dc.publisher | College of Business Administration (경영대학) | - |
| dc.subject | quasi random sampling | - |
| dc.subject | stratified latin hypercube sampling | - |
| dc.subject | quasi monte carlo simulation | - |
| dc.title | Quasi Random Sampling for Operations Management | - |
| dc.type | SNU Journal | - |
| dc.contributor.AlternativeAuthor | 양홍석 | - |
| dc.citation.journaltitle | Seoul Journal of Business | - |
| dc.citation.endpage | 72 | - |
| dc.citation.number | 1 | - |
| dc.citation.pages | 53-72 | - |
| dc.citation.startpage | 53 | - |
| dc.citation.volume | 12 | - |
- Appears in Collections:
- Files in This Item:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.