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  1. Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.Jerome R. Busemeyer & James T. Townsend - 1993 - Psychological Review 100 (3):432-459.
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  • Statistical Inference.G. Casella & R. L. Berger - 2002 - Thomson Learning.
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  • Predicting Risk Sensitivity in Humans and Lower Animals: Risk as Variance or Coefficient of Variation.Elke U. Weber, Sharoni Shafir & Ann-Renée Blais - 2004 - Psychological Review 111 (2):430-445.
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  • Theory of Games and Economic Behavior.David Hawkins - 1945 - Philosophy of Science 12 (3):221-227.
    The literature of economic theory, like that of philosophy, abounds in prefaces and prolegomena. Methodology and analysis of concepts take an important place in a science which has not found the sure path of development. But there is no sure path for methodology either. The selfconscious methodology of social science has been largely a borrowing from that of physical science, where procedures have developed to a stage of considerable maturity. But the analogy falls down where guidance is most needed, at (...)
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  • Loss Aversion and Inhibition in Dynamical Models of Multialternative Choice.Marius Usher & James L. McClelland - 2004 - Psychological Review 111 (3):757-769.
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  • Multialternative decision field theory: A dynamic connectionst model of decision making.Robert M. Roe, Jermone R. Busemeyer & James T. Townsend - 2001 - Psychological Review 108 (2):370-392.
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  • A theory of memory retrieval.Roger Ratcliff - 1978 - Psychological Review 85 (2):59-108.
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  • Prospect Theory: For Risk and Ambiguity.Peter P. Wakker - 2010 - Cambridge University Press.
    Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events and when we lack them. The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in (...)
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  • Instance-based learning: Integrating sampling and repeated decisions from experience.Cleotilde Gonzalez & Varun Dutt - 2011 - Psychological Review 118 (4):523-551.
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  • .Daniel Kahneman & Shane Frederick - 2002 - Cambridge University Press.
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  • The Foundations of Statistics.Leonard J. Savage - 1954 - Wiley Publications in Statistics.
    Classic analysis of the subject and the development of personal probability; one of the greatest controversies in modern statistcal thought.
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  • Prospect Theory: An Analysis of Decision Under Risk.D. Kahneman & A. Tversky - 1979 - Econometrica: Journal of the Econometric Society:263--291.
    The following values have no corresponding Zotero field: PB - JSTOR.
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  • The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.
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  • Theory of Games and Economic Behavior.John von Neumann & Oskar Morgenstern - 1944 - Science and Society 9 (4):366-369.
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