Harin, Alexander (2017): About the minimal magnitudes of measurement’s forbidden zones. Version 1.
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Abstract
Suppose a random variable takes on values in an interval. The minimal distance from the expectation of the variable to the nearest boundary of the interval is considered here. One of the aims of the present article is also an analysis of the question when this minimal distance can be neglected with respect to the standard deviation. This minimal distance can determine the minimal magnitudes of forbidden zones caused by noise for results of measurements near the boundaries of the intervals. The most observed influence and problems of these forbidden zones are suffered in behavioral economics and decision sciences.
Item Type: | MPRA Paper |
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Original Title: | About the minimal magnitudes of measurement’s forbidden zones. Version 1 |
Language: | English |
Keywords: | utility theory; prospect theory; behavioral economics; decision sciences; probability; dispersion; variance; expectation; noise; |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General C - Mathematical and Quantitative Methods > C9 - Design of Experiments C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C91 - Laboratory, Individual Behavior C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C93 - Field Experiments D - Microeconomics > D8 - Information, Knowledge, and Uncertainty D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D81 - Criteria for Decision-Making under Risk and Uncertainty |
Item ID: | 78796 |
Depositing User: | Alexander Harin |
Date Deposited: | 25 Apr 2017 21:04 |
Last Modified: | 30 Sep 2019 14:06 |
References: | [1] Harin, А. General bounds in economics and engineering at data dispersion and risk, Proceedings of the Thirteenth International Scientific School “Modeling and Analysis of Safety and Risk in Complex Systems” Saint-Petersburg, Russia, SUAI, SPb., (2015) 105–117. [2] Harin, А. Can forbidden zones for the expectation explain noise influence in behavioral economics and decision sciences? MPRA Paper No. 76240, 2017. [3] Harin, А. Data dispersion in economics (I) – Possibility of restrictions. Review of Economics & Finance 2 (3) (2012): 59-70. [4] Harin, А. Data dispersion in economics (II) – Inevitability and Consequences of Restrictions, Review of Economics & Finance 2(4) (2012) 24–36. [5] Kahneman, D., and R. Thaler. Anomalies: Utility Maximization and Experienced Utility, Journal of Economic Perspectives 20(1) (2006) 221–234. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/78796 |