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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Types of Interval Data Sets: Towards Feasible Algorithms
verfasst von : Hung T. Nguyen, Vladik Kreinovich, Berlin Wu, Gang Xiang
Erschienen in: Computing Statistics under Interval and Fuzzy Uncertainty
Verlag: Springer Berlin Heidelberg
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Need
to
consider
specific
types
of
interval
data
sets
. The main objective of this book is to compute statistics under interval uncertainty. The simplest and most widely used statistical characteristics are mean and variance. We already know that computing the mean under interval uncertainty is straightforward. However, as the previous chapter shows, computing variance
V
under interval uncertainty is, in general, an NP-hard (computationally difficult) problem. As we will see in the following chapters, a similar problem is NP-hard for many other statistical characteristics
C
as well.