The Need for a Standard for Making Predictions
Elart von Collani
Additional contact information
Elart von Collani: University of Würzburg, Sanderring 2, D-97070 Würzburg, Germany. collani@mathematik.uni-wuerzburg.de
Stochastics and Quality Control, 2008, vol. 23, issue 2, 287-299
Abstract:
In the last issue of EQC the “Guide to the Expression of Uncertainty in Measurement” (GUM) was critically discussed and it was shown that it is obsolete and should be replaced by a standard defining the rules for stochastic measurement procedures that in contrast to the GUM would express the inherent measurement uncertainty in an objective way, thus making reliable and accurate measurement procedures possible.Closely connected to stochastic measurement procedures are stochastic prediction procedures, as any measurement procedure is based on a corresponding prediction procedure. Furthermore, prediction procedures play a central role in any decision-making process. Prediction procedures are therefore the most important tool for human individuals as well as for the human community for solving problems and being able to survive.Having this in mind, mankind should be expected in its long history to have developed prediction procedures that, in an objective way, enable to look at the indeterminate future to prevent the occurrence of problems and to solve problems once they have occurred. Unfortunately, this is not the case. The technology of making predictions has not at all improved since the antiquity.In this paper, predictions procedures are dealt with, and the development of a prediction standard for the protection against misleading or even fraudulent prediction is proposed.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/EQC.2008.287 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:ecqcon:v:23:y:2008:i:2:p:287-299:n:12
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html
DOI: 10.1515/EQC.2008.287
Access Statistics for this article
Stochastics and Quality Control is currently edited by George P. Yanev
More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().