Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/72655
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dc.contributor統計系
dc.creatorHung, Ying-Chao
dc.date2009-04
dc.date.accessioned2015-01-07T08:57:07Z-
dc.date.available2015-01-07T08:57:07Z-
dc.date.issued2015-01-07T08:57:07Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/72655-
dc.description.abstractShepp’s urn model is a useful tool for analyzing the stopping-rule problems in economics and finance. In [R.W. Chen, A. Zame, C.T. Lin, H. Wu, A random version of Shepp’s urn scheme, SIAM J. Discrete Math. 19 (1) (2005) 149–164], Chen et al. considered a random version of Shepp’s urn scheme and showed that a simple drawing policy (called “the k in the hole policy”) can asymptotically maximize the expected value of the game. By extending the work done by Chen et al., this note considers a more general urn scheme that is better suited to real-life price models in which the short-term value might not fluctuate. Further, “the k in the hole policy” is shown to be asymptotically optimal for this new urn scheme.
dc.format.extent604983 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationDiscrete Mathematics,309(6),1749-1759
dc.titleA Note on Randomized Shepp``s Urn Scheme
dc.typearticleen
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item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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