Types of Interval Data Sets: General Idea
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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Nguyen, H.T., Kreinovich, V., Wu, B., Xiang, G. (2012). Types of Interval Data Sets: Towards Feasible Algorithms. In: Computing Statistics under Interval and Fuzzy Uncertainty. Studies in Computational Intelligence, vol 393. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24905-1_15
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