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Dissimilarities Between Trajectories of a Three-Way Longitudinal Data Set

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Advances in Data Science and Classification

Abstract

This paper deals with the problem of evaluating dissimilarities between trajectories in a three-way longitudinal data set (a set of multiple time series). The dissimilarity between trajectories is defined as a conic combination of the dissimilarities between trends, velocities and accelerations of the pair of trajectories. The coefficients of the linear combination are estimated maximizing its variance. The proposed methodology is applied on a real data set to classify trajectories of Italian regions by their employment dynamic.

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References

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Author information

Authors and Affiliations

  1. Department of Statistica, Probabilità e Statistiche Applicate, University of Roma “La Sapienza”, P.le A. Moro, 5, 00185, Roma, Italy

    Pierpaolo D’Urso

  2. Department of Metodi Quantitativi e Teoria Economica, University of Chieti “G. d’Annunzio”, V.le Pindaro, 42, 65127, Pescara, Italy

    Maurizio Vichi

Authors
  1. Pierpaolo D’Urso
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  2. Maurizio Vichi
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Editor information

Editors and Affiliations

  1. Dipartimento di Statisticà, Probabilità e Statistiche Applicate, Università di Roma “La Sapienza”, Piazzale Aldo Moro 5, I-00185, Roma, Italia

    Alfredo Rizzi

  2. Dipartimento di Metodi Quantitativi e Teoria Economica, Università “G. D’Annunzio” di Chieti, Viale Pindaro 42, I-65127, Pescara, Italia

    Maurizio Vichi

  3. Institut für Statistik und Wirtschaftsmathematik, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen, Wüllnerstraße 3, D-52056, Aachen, Germany

    Hans-Hermann Bock

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© 1998 Springer-Verlag Berlin · Heidelberg

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D’Urso, P., Vichi, M. (1998). Dissimilarities Between Trajectories of a Three-Way Longitudinal Data Set. In: Rizzi, A., Vichi, M., Bock, HH. (eds) Advances in Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72253-0_80

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  • DOI: https://doi.org/10.1007/978-3-642-72253-0_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64641-9

  • Online ISBN: 978-3-642-72253-0

  • eBook Packages: Springer Book Archive

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