Extrapolating human probability judgment
dc.contributor.author | Osherson, Daniel N. | en_US |
dc.contributor.author | Myers, Tracy S. | en_US |
dc.contributor.author | Shafir, Eldar B. | en_US |
dc.contributor.author | Stob, Michael | en_US |
dc.contributor.author | Smith, Edward E. | en_US |
dc.date.accessioned | 2006-09-11T13:55:29Z | |
dc.date.available | 2006-09-11T13:55:29Z | |
dc.date.issued | 1994-03 | en_US |
dc.identifier.citation | Osherson, Daniel; Smith, Edward E.; Myers, Tracy S.; Shafir, Eldar; Stob, Michael; (1994). "Extrapolating human probability judgment." Theory and Decision 36(2): 103-129. <http://hdl.handle.net/2027.42/43846> | en_US |
dc.identifier.issn | 1573-7187 | en_US |
dc.identifier.issn | 0040-5833 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/43846 | |
dc.description.abstract | We advance a model of human probability judgment and apply it to the design of an extrapolation algorithm. Such an algorithm examines a person's judgment about the likelihood of various statements and is then able to predict the same person's judgments about new statements. The algorithm is tested against judgments produced by thirty undergraduates asked to assign probabilities to statements about mammals. | en_US |
dc.format.extent | 1432981 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.subject.other | Economics/Management Science, General | en_US |
dc.subject.other | Methodology of the Social Sciences | en_US |
dc.subject.other | Probability | en_US |
dc.subject.other | Judgment | en_US |
dc.subject.other | Psychology | en_US |
dc.subject.other | Operation Research/Decision Theory | en_US |
dc.title | Extrapolating human probability judgment | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Philosophy | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Social Sciences (General) | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.contributor.affiliationother | IDIAP, 1920 Martigny, Case Postale 609, Valais, Switzerland | en_US |
dc.contributor.affiliationother | Princeton University, USA | en_US |
dc.contributor.affiliationother | Calvin College, USA | en_US |
dc.contributor.affiliationother | M.I.T., USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/43846/1/11238_2005_Article_BF01079209.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF01079209 | en_US |
dc.identifier.source | Theory and Decision | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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