Prediction of bids for two-outcome gambles in a casino setting
dc.contributor.author | Goodman, Barbara Cora Ettinger | en_US |
dc.contributor.author | Saltzman, Mark | en_US |
dc.contributor.author | Edwards, Ward | en_US |
dc.contributor.author | Krantz, David H. | en_US |
dc.date.accessioned | 2006-04-07T17:31:20Z | |
dc.date.available | 2006-04-07T17:31:20Z | |
dc.date.issued | 1979-12 | en_US |
dc.identifier.citation | Goodman, Barbara, Saltzman, Mark, Edwards, Ward, Krantz, David H. (1979/12)."Prediction of bids for two-outcome gambles in a casino setting." Organizational Behavior and Human Performance 24(3): 382-399. <http://hdl.handle.net/2027.42/23451> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B7J20-4D5WPXC-YP/2/5bcdc4a9d32e8f879d6067d5d34a89f2 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/23451 | |
dc.description.abstract | An experimental game was conducted in a Las Vegas casino. Ninety two-outcome gambles were presented in turn, and the player's monetary evaluation of each gamble was determined by the Marschak bidding procedure. Ordinal tests supported the monotonicity and the cancellation properties that are necessary for any from the family of expectation models. A number of different parametric expectation models were tested by a least-squares method. The bids were well predicted by the expected value (EV) of the gambles. More elaborate predictors, in which parameters were estimated to represent the individual player's subjective probabilities and/or utilities, merely capitalized on noise; cross-validation showed that no real improvement could be obtained over the EV predictor. Furthermore, no single feature of the bet nor any linear combination of them did as well as EV. | en_US |
dc.format.extent | 923894 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Prediction of bids for two-outcome gambles in a casino setting | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Southern California, USA; University of Michigan, USA | en_US |
dc.contributor.affiliationum | University of Southern California, USA; University of Michigan, USA | en_US |
dc.contributor.affiliationum | University of Southern California, USA; University of Michigan, USA | en_US |
dc.contributor.affiliationum | University of Southern California, USA; University of Michigan, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/23451/1/0000402.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0030-5073(79)90036-9 | en_US |
dc.identifier.source | Organizational Behavior and Human Performance | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.