An existence theorem for restrictions on the mean in the presence of a restriction on the dispersion
MPRA Paper from University Library of Munich, Germany
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.
Keywords: mean; dispersion; scatter; scattering; noise; probability; economics; utility theory; prospect theory; decision theories; human behavior (search for similar items in EconPapers)
JEL-codes: C0 C91 C93 D8 D81 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/64646/1/MPRA_paper_64646.pdf original version (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:64646
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Series data maintained by Joachim Winter ().