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An existence theorem for restrictions on the mean in the presence of a restriction on the dispersion

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  • Harin, Alexander

Abstract

This article analyzes, from the purely mathematical point of view, a general practical problem. The problem consists in the influence of the scatter of experimental data on their mean values (and, possibly, on the probability) near the borders of intervals. The second central moment, the dispersion is a common measure of a scatter. Suppose, for instance, a nonnegative random variable X takes values in a finite interval . Write M for its mean. If there is a non-zero restriction on a central moment |E(X-M)n|≥|rnDisp.n|>0 under the condition 2≤n 0 is the width of a non-zero “forbidden zone” for the mean M near a border of the interval. Here, in the case of , this non-zero restriction is a restriction on the dispersion E(X-M)2≥r2Disp.2=σ2Min>0. So, if there is a non-zero restriction on the dispersion, then a non-zero “forbidden zone” exists for the mean near a border of the interval.

Suggested Citation

  • Harin, Alexander, 2015. "An existence theorem for restrictions on the mean in the presence of a restriction on the dispersion," MPRA Paper 64646, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:64646
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    File URL: https://mpra.ub.uni-muenchen.de/64646/1/MPRA_paper_64646.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. David J. Butler & Graham C. Loomes, 2007. "Imprecision as an Account of the Preference Reversal Phenomenon," American Economic Review, American Economic Association, vol. 97(1), pages 277-297, March.
    4. Alexander Harin, 2010. "The theorem of existence of ruptures in the probability scale," Economics Bulletin, AccessEcon, vol. 30(2), pages 1-16.
    5. Schoemaker, Paul J. H. & Hershey, John C., 1992. "Utility measurement: Signal, noise, and bias," Organizational Behavior and Human Decision Processes, Elsevier, vol. 52(3), pages 397-424, August.
    6. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    7. Tversky, Amos & Wakker, Peter, 1995. "Risk Attitudes and Decision Weights," Econometrica, Econometric Society, vol. 63(6), pages 1255-1280, November.
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    Cited by:

    1. Harin, Alexander, 2015. "Is Prelec’s function discontinuous at p = 1? (for the Einhorn Award of SJDM)," MPRA Paper 64672, University Library of Munich, Germany.

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    More about this item

    Keywords

    mean; dispersion; scatter; scattering; noise; probability; economics; utility theory; prospect theory; decision theories; human behavior;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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