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Behavioral sciences and auto-transformations of functions

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  • Harin, Alexander

Abstract

The two goals of the present article are: 1) To define transformations (named here as auto-transformations) of the probability density functions of random variables (or other functions) into similar functions having smaller sizes of their domains. 2) To research and outline basic features of these transformations. In particular, auto-transformations from infinite to finite domains are analyzed. The goals are caused by the well-known problems of behavioral sciences.

Suggested Citation

  • Harin, Alexander, 2020. "Behavioral sciences and auto-transformations of functions," MPRA Paper 99286, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:99286
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    File URL: https://mpra.ub.uni-muenchen.de/99286/1/MPRA_paper_99286.pdf
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    References listed on IDEAS

    as
    1. Scheutzow, Michael, 1985. "Noise can create periodic behavior and stabilize nonlinear diffusions," Stochastic Processes and their Applications, Elsevier, vol. 20(2), pages 323-331, September.
    2. Alexander Harin, 2012. "Data Dispersion in Economics(II) - Inevitability and Consequences of Restrictions," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 24-36, November.
    3. Daniel Kahneman & Richard H. Thaler, 2006. "Anomalies: Utility Maximization and Experienced Utility," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 221-234, Winter.
    4. R. Sharma & R. Bhandari, 2014. "On Variance Upper Bounds for Unimodal Distributions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 43(21), pages 4503-4513, November.
    5. Lioudmila Vostrikova, 2015. "Utility Maximisation for Exponential Levy Models with option and information processes," Papers 1509.02727, arXiv.org, revised Jul 2017.
    6. Harin, Alexander, 2018. "Inequalities and zones. New mathematical results for behavioral and social sciences," MPRA Paper 90326, University Library of Munich, Germany.
    7. Steftcho P. Dokov & David P. Morton, 2005. "Second-Order Lower Bounds on the Expectation of a Convex Function," Mathematics of Operations Research, INFORMS, vol. 30(3), pages 662-677, August.
    8. Harin, Alexander, 2018. "Forbidden zones for the expectation. New mathematical results for behavioral and social sciences," MPRA Paper 86650, University Library of Munich, Germany.
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    Citations

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    Cited by:

    1. Harin, Alexander, 2020. "Macroscopic analogs of quantum-mechanical phenomena and auto-transformations of functions," MPRA Paper 104188, University Library of Munich, Germany.

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    More about this item

    Keywords

    probability; variance; noise; bias; measurement; utility theory; prospect theory; behavioral economics; psychology; decision sciences; social sciences;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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