Abstract
Several possibilities of defining the expectation of random p-dimensional intervals are proposed. After defining the expectation via reducing intervals to their extremal points p-dimensional intervals (rectangles) are treated as Random Closed Sets (RCSs). In this framework Random Closed Rectangles (RCRs) are defined and the properties of different definitions for expectations of RCSs, applied on RCRs are studied. In addition known mean values of interval data are integrated in this generalized approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
CHAVENT, M. (2000): Criterion-Based Divisive Clustering for Symbolic Data. In: Bock, H.-H. with E. Diday (Eds.): Analysis of Symbolic Data. Springer, Berlin, 299–311.
CHAVENT, M. and LECHEVALLIER, Y. (2002): Dynamical Clustering of Interval Data: Optimization of an Adequacy Criterion Based on Hausdorff Distance. In: K. Jajuga, A. Sokołowski and H.H. Bock (Eds.): Classification, Clustering, and Analysis. Springer, Berlin, 203–210.
MATHERON, G. (1975): Random Sets and Integral Geometry. Wiley, New York.
MOLCHANOV, I. (1997): Statistical Problems for Random Sets. In: J. Goutsias (Ed.): Random Sets: Theory and Applications. Springer, Berlin, 27–45.
NORDHOFF, O. (2003): Erwartungswerte zufälliger Quader. Diplomarbeit, RWTH Aachen.
STOYAN, D. and MECKE, J. (1983): Stochastische Geometrie. Akademie-Verlag, Berlin.
STOYAN, D. and STOYAN, H. (1994): Fractals, random shapes and point fields. Wiley, New York.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin · Heidelberg
About this paper
Cite this paper
Nordhoff, O. (2005). Expectation of Random Sets and the ‘Mean Values’ of Interval Data. In: Weihs, C., Gaul, W. (eds) Classification — the Ubiquitous Challenge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28084-7_19
Download citation
DOI: https://doi.org/10.1007/3-540-28084-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25677-9
Online ISBN: 978-3-540-28084-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)