Please use this identifier to cite or link to this item:
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58589| Title: | What if we do not know correlations? |
| Authors: | Michael Beer Zitong Gong Ingo Neumann Songsak Sriboonchitta Vladik Kreinovich |
| Authors: | Michael Beer Zitong Gong Ingo Neumann Songsak Sriboonchitta Vladik Kreinovich |
| Keywords: | Computer Science |
| Issue Date: | 1-Jan-2018 |
| Abstract: | © 2018, Springer International Publishing AG. It is well know how to estimate the uncertainty of the result y of data processing if we know the correlations between all the inputs. Sometimes, however, we have no information about the correlations. In this case, instead of a single value σ of the standard deviation of the result, we get a range [σ̲,σ¯] of possible values. In this paper, we show how to compute this range. |
| URI: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038842719&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58589 |
| ISSN: | 1860949X |
| Appears in Collections: | CMUL: Journal Articles |
Files in This Item:
There are no files associated with this item.
Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.