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Descriptive Statistics for Interval-valued Observations in the presence of Rules

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Date
2006-01
Dewey
Probabilités et mathématiques appliquées
Sujet
Interval-valued data ; logical dependency rules ; univariate histogrames ; sample means ; sample variances ; joint histogram
Journal issue
Computational Statistics
Volume
21
Number
2
Publication date
10-2006
Article pages
187-210
Publisher
Springer
DOI
http://dx.doi.org/10.1007/s00180-006-0259-6
URI
https://basepub.dauphine.fr/handle/123456789/1015
Collections
  • CEREMADE : Publications
Metadata
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Author
Billard, Lynne
Diday, Edwin
Type
Article accepté pour publication ou publié
Abstract (EN)
While symbolic data exist in their own right, contemporary datasets can be too large to analyse using traditional statistical methodologies. Aggregation of these large datasets into sets of more managable size perforce produce datasets whose entries are symbolic data. This paper studies the derivation of basic description statistics, in particular, histograms and mean and variances plus joint histograms for interval-valued datasets when logical dependency rules are present. Algorithms for calculating these histograms are also provided.

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