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Polynomial psychophysics of risk
dc.contributor.authorCoombs, Clyde H.en_US
dc.contributor.authorHuang, Lily C.en_US
dc.date.accessioned2006-04-17T15:10:05Z
dc.date.available2006-04-17T15:10:05Z
dc.date.issued1970-06en_US
dc.identifier.citationCoombs, Clyde H., Huang, Lily C. (1970/06)."Polynomial psychophysics of risk." Journal of Mathematical Psychology 7(2): 317-338. <http://hdl.handle.net/2027.42/32748>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WK3-4DT5NHV-K/2/b4134044397d9ba63a20c57e5354992een_US
dc.identifier.urihttps://hdl.handle.net/2027.42/32748
dc.description.abstractThree mathematical transformations on two-outcome games are defined. It is assumed that these transformations induce corresponding transformations on perceived risk. The rule governing the joint effect of these transformations is assumed to be the distributive model. An experiment is reported in which a class of simple polynomials are compared using the measurement-free methods of polynomial conjoint measurement. Substantial support for the distributive model is obtained.en_US
dc.format.extent1116690 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titlePolynomial psychophysics of risken_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor, Michigan 48104, USAen_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor, Michigan 48104, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/32748/1/0000117.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0022-2496(70)90051-9en_US
dc.identifier.sourceJournal of Mathematical Psychologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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