Skip to main content
SpringerLink
Log in

Grade Analysis of Repeated Multivariate Measurements

  • Conference paper
Book cover Soft Methods in Probability, Statistics and Data Analysis

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 16))

  • 396 Accesses

Abstract

The paper shows how the grade methods (correspondence-cluster analysis and overrepresentation maps) can help in analysis of data, which consists of repeated mesurements for a set of objects. Their usefulness will be discussed on a real data example. The analyzed data describe how the Polish retail firms use capital sources and what are their economic conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ciok, A. (1998) Discretization as a tool in cluster analysis. In: Rizzi A., Vichi M., Bock H.H. (Eds.) Advances in Data Science and Classification. Springer, Berlin Heidelberg, 349–354

    Chapter  Google Scholar 

  2. Ciok, A., Kowalczyk, T., Pleszczynska, E., Szczesny, W. (1995) Algorithms of grade correspondence—cluster analysis. The Collected Papers of Theoretical and Applied Computer Science 7, no 1–4, 5–22

    Google Scholar 

  3. Ciok, A., Kowalczyk, T., Pleszczynska, E., (1998) How a New Statistical Infrastructure Induced a New Computing trend in Data Analysis. In: Polkowski L., Skowron A. (Eds.) Rough Sets and Current Trends in Computing, First International Conference, RSCTC’98, Poland, Warsaw, June 1998 Proceedings, Lecture Notes in Artificial Intelligence 1424, Springer, Berlin Heidelberg, 75–82

    Google Scholar 

  4. Nelsen, R. B. (1991) Copulas and association. In: Dall’Aglio, G., Kotz, S., Salinetti, G. (Eds.) Advances in Probability Distributions with Given Marginals. Kluwer Academic Publishers, Dordrecht.

    Google Scholar 

  5. Schriever, B. F. (1985) Order dependence. Ph.D. Dissertation, Free University of Amsterdam.

    Google Scholar 

  6. Szczesny, W. (2001) Grade correspondence analysis applied to contingency tables and questionnaire data. Intelligent Data Analysis, 5, 1–35.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computer Science PAS, ul. Ordona 21, 01-237, Warsaw, Poland

    Alicja Ciok

  2. Institute of Home Market and Consumption, ul. Al. Jerozolimskie 87, 02-001, Warsaw, Poland

    Alicja Ciok

Authors
  1. Alicja Ciok
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Przemysław Grzegorzewski  & Olgierd Hryniewicz  & 

  2. Facultad de Ciencias, Departamento de Estadística e I.O. y D.M., Universidad de Oviedo, C/Calvo Sotelo, s/n, 33007, Oviedo, Spain

    María Ángeles Gil

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ciok, A. (2002). Grade Analysis of Repeated Multivariate Measurements. In: Grzegorzewski, P., Hryniewicz, O., Gil, M.Á. (eds) Soft Methods in Probability, Statistics and Data Analysis. Advances in Intelligent and Soft Computing, vol 16. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1773-7_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-1773-7_26

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1526-9

  • Online ISBN: 978-3-7908-1773-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation