On central tendency and dispersion measures for intervals and hypercubes
Computation
2008-12-18 v1 Machine Learning
Abstract
The uncertainty or the variability of the data may be treated by considering, rather than a single value for each data, the interval of values in which it may fall. This paper studies the derivation of basic description statistics for interval-valued datasets. We propose a geometrical approach in the determination of summary statistics (central tendency and dispersion measures) for interval-valued variables.
Cite
@article{arxiv.0804.2247,
title = {On central tendency and dispersion measures for intervals and hypercubes},
author = {Marie Chavent and Jérôme Saracco},
journal= {arXiv preprint arXiv:0804.2247},
year = {2008}
}