Abstract
So far, notions of data depths have been discussed that measure how deep a single point is located in a distribution. In many applications, particularly two-sample problems, a statistic is needed that measures how deep a set of points is located in a distribution. For this, the notion of data depth of a set or, more precisely, a data matrix has to be developed. Like in the case of point data depth, many notions are possible and, depending on the application, useful.
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© 2002 Springer Science+Business Media New York
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Mosler, K. (2002). Depth of hyperplanes. In: Multivariate Dispersion, Central Regions, and Depth. Lecture Notes in Statistics, vol 165. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0045-8_6
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DOI: https://doi.org/10.1007/978-1-4613-0045-8_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95412-7
Online ISBN: 978-1-4613-0045-8
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