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  1. Computational Statistics
  2. Computational Statistics : Volume 21
  3. Computational Statistics : Volume 21, Issue 2, June 2006
  4. Editorial
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Computational Statistics : Volume 32
Computational Statistics : Volume 31
Computational Statistics : Volume 30
Computational Statistics : Volume 29
Computational Statistics : Volume 28
Computational Statistics : Volume 27
Computational Statistics : Volume 26
Computational Statistics : Volume 25
Computational Statistics : Volume 24
Computational Statistics : Volume 23
Computational Statistics : Volume 22
Computational Statistics : Volume 21
Computational Statistics : Volume 21, Issue 3-4, December 2006
Computational Statistics : Volume 21, Issue 2, June 2006
Editorial
Descriptive statistics for interval-valued observations in the presence of rules
New clustering methods for interval data
Dynamic clustering for interval data based on L 2 distance
A robust fuzzy k-means clustering model for interval valued data
Clustering reduced interval data using Hausdorff distance
Linear discriminant analysis for interval data
Interclass analysis in symbolic pattern classification problems
Extension of multivariate regression trees to interval data. Application to electricity load profiling
Principal component analysis on interval data
Interval linear systems: the state of the art
Computational Statistics : Volume 21, Issue 1, March 2006
Computational Statistics : Volume 20
Computational Statistics : Volume 19
Computational Statistics : Volume 18
Computational Statistics : Volume 17
Computational Statistics : Volume 16
Computational Statistics : Volume 15
Computational Statistics : Volume 14

Editorial

Content Provider Springer Nature Link
Author Palumbo, Francescco
Copyright Year 2006
Starting Page 183
Ending Page 185
Page Count 3
File Format PDF
ISSN 09434062
Journal Computational Statistics
Volume Number 21
Issue Number 2
e-ISSN 16139658
Language English
Publisher Springer-Verlag
Publisher Date 2006-01-01
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Statistics Economic Theory
Content Type Text
Subject Statistics and Probability Statistics, Probability and Uncertainty Computational Mathematics
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