Multivariate Dispersion, Central Regions, and Depth : the Lift Zonoid Approach /
The lift zonoid approach is based on a new representation of probability measures: a d-variate probability measure is represented by a convex set, its lift zonoid. First, lift zonoids are useful in data analysis to describe an empiricaldistribution by central (so- called trimmed) regions. They give...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York : Imprint : Springer,
2002.
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| Series: | Lecture notes in statistics (Springer-Verlag) ;
165. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction
- Zonoids and lift zonoids
- Central regions
- Data depth
- Inference based on data depth
- Depth of hyperplanes
- Volume statistics
- Orderings and indices of dispersion
- Measuring economic disparity and concentration.