On central tendency and dispersion measures for intervals and hypercubes

Simple item page
dc.creatorChavent, Marie
dc.creatorSaracco, Jérôme
dc.date2008-04-14
dc.date.accessioned2026-07-07T12:18:19Z
dc.date.available2026-07-07T12:18:19Z
dc.descriptionThe 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.
dc.identifierhttps://arxiv.org/abs/0804.2247
dc.identifierhttp://arxiv.org/abs/0804.2247
dc.identifierCommunications in Statistics - Theory and Methods 37, 9 (2008) 1471 - 1482
dc.identifierdoi:10.1080/03610920701678984
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212372
dc.subjectComputation
dc.subjectMachine Learning
dc.titleOn central tendency and dispersion measures for intervals and hypercubes
dc.typetext

Files

Collections

arXiv