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Title: What if we do not know correlations?
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.
ISSN: 1860949X
Appears in Collections:CMUL: Journal Articles

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