Committee, Expert Advice, and the Weighted Majority Algorithm: An Application to the Pricing Decision of a Monopolist

Computational Economics, 2010, vol. 35, issue 3, 245-267

Keywords: Experts; Diversity; Learning; Weighted majority algorithm; Sample mean; Surowiecki; D42; D70; D83 (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s10614-009-9194-2 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Committee, Expert Advice, and the Weighted Majority Algorithm: An Application to the Pricing Decision of a Monopolist (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:35:y:2010:i:3:p:245-267

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-009-9194-2

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().