Harin, Alexander (2017): Some estimations of the minimal magnitudes of forbidden zones in experimental data.

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Abstract
Suppose a random variable takes on values in an interval. The minimal distance between the expectation of the variable and the nearest boundary of the interval is considered in the present article. A question whether this distance can be neglected with respect to the standard deviation is analyzed as the main item. This minimal distance can determine the minimal magnitudes of nonzero forbidden zones and biases caused by noise for results of experiments. These nonzero forbidden zones and biases cause fundamental problems, especially in interpretations of experiments in behavioral economics and decision sciences.
Item Type:  MPRA Paper 

Original Title:  Some estimations of the minimal magnitudes of forbidden zones in experimental data 
Language:  English 
Keywords:  utility theory; prospect theory; behavioral economics; decision sciences; probability; experiments; data; variance; expectation; noise; 
Subjects:  C  Mathematical and Quantitative Methods > C1  Econometric and Statistical Methods and Methodology: General C  Mathematical and Quantitative Methods > C8  Data Collection and Data Estimation Methodology ; Computer Programs > C81  Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access C  Mathematical and Quantitative Methods > C9  Design of Experiments D  Microeconomics > D8  Information, Knowledge, and Uncertainty D  Microeconomics > D8  Information, Knowledge, and Uncertainty > D81  Criteria for DecisionMaking under Risk and Uncertainty 
Item ID:  80319 
Depositing User:  Alexander Harin 
Date Deposited:  23 Jul 2017 03:55 
Last Modified:  26 Sep 2019 11:17 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/80319 