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dc.contributor.authorMak, Wai-Kei
dc.contributor.authorMorton, David P.
dc.contributor.authorWood, R. Kevin
dc.date.accessioned2014-01-22T19:08:23Z
dc.date.available2014-01-22T19:08:23Z
dc.date.issued1999
dc.identifier.urihttp://hdl.handle.net/10945/38421
dc.descriptionOperations Research Letters, 24, pp. 47-56.en_US
dc.rightsdefined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleMonte Carlo Bounding Techniques for Determining Solution Quality in Stochastic Programsen_US
dc.typeArticleen_US
dc.contributor.departmentOperations Research (OR)
dc.subject.authorProgramming; Stochastic; Monte Carlo approximations; Statistics; Sampling; Con dence intervals; Variance reductionen_US


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