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- Publisher Website: 10.1016/j.orl.2007.04.010
- Scopus: eid_2-s2.0-37049001003
- WOS: WOS:000252557600022
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Article: Solving operational statistics via a Bayesian analysis
Title | Solving operational statistics via a Bayesian analysis |
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Authors | |
Keywords | Operational statistics Newsvendor model Demand ambiguity Model uncertainty Estimation and optimization |
Issue Date | 2008 |
Citation | Operations Research Letters, 2008, v. 36, n. 1, p. 110-116 How to Cite? |
Abstract | For the newsvendor problem with ambiguous demand, it is known that integrating parameter estimation and optimization using operational statistics leads to better solutions compared with the traditional approach. However, it is an open question how to find the optimal operational statistic. We show how to do it in this paper. © 2007. |
Persistent Identifier | http://hdl.handle.net/10722/296047 |
ISSN | 2023 Impact Factor: 0.8 2023 SCImago Journal Rankings: 0.449 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chu, Leon Yang | - |
dc.contributor.author | Shanthikumar, J. George | - |
dc.contributor.author | Shen, Zuo Jun Max | - |
dc.date.accessioned | 2021-02-11T04:52:43Z | - |
dc.date.available | 2021-02-11T04:52:43Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Operations Research Letters, 2008, v. 36, n. 1, p. 110-116 | - |
dc.identifier.issn | 0167-6377 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296047 | - |
dc.description.abstract | For the newsvendor problem with ambiguous demand, it is known that integrating parameter estimation and optimization using operational statistics leads to better solutions compared with the traditional approach. However, it is an open question how to find the optimal operational statistic. We show how to do it in this paper. © 2007. | - |
dc.language | eng | - |
dc.relation.ispartof | Operations Research Letters | - |
dc.subject | Operational statistics | - |
dc.subject | Newsvendor model | - |
dc.subject | Demand ambiguity | - |
dc.subject | Model uncertainty | - |
dc.subject | Estimation and optimization | - |
dc.title | Solving operational statistics via a Bayesian analysis | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.orl.2007.04.010 | - |
dc.identifier.scopus | eid_2-s2.0-37049001003 | - |
dc.identifier.volume | 36 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 110 | - |
dc.identifier.epage | 116 | - |
dc.identifier.isi | WOS:000252557600022 | - |
dc.identifier.issnl | 0167-6377 | - |