Skip to main content
SpringerLink
Log in

Bootstrap Confidence Regions for Homogeneity Analysis; the Influence of Rotation on Coverage Percentages

  • Conference paper
Compstat

Abstract

The influence is evaluated of rotation of bootstrap sample homogeneity analysis solutions towards original sample solutions on coverage percentages of the bootstrap constructed confidence regions. The coverage percentages as well as the sizes of the confidence regions tend to decrease.

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.

Similar content being viewed by others

References

  • Borg, I and J. Lingoes (1987). Multidimensional similarity structure analysis. New York: Springer-Verlag.

    Book  Google Scholar 

  • Borsboom, G. (1988). Confidence Regions for Multiple Correspondence Analysis Using Bootstrap Methods. Research Report RR-88–03, University of Leiden: Dept. of Behavioral and Computational Science.

    Google Scholar 

  • De Leeuw, J. (1985). Jack-knife and Bootstrap in Multinomial Situations. Research Report RR-85–16, University of Leiden: Dept. of Data Theory.

    Google Scholar 

  • Efron, B. (1979), Bootstrap methods: another look at the jack-knife, Ann. Statist., 7, 1–26.

    Article  Google Scholar 

  • Gifi, A. (1990). Non-linear multivariate analysis. Chichester: John Wiley and Sons.

    Google Scholar 

  • Green, P.J. (1981), Peeling bivariate data. In: V. Barnett (ed.), Interpreting multivariate data. New York: John Wiley and sons.

    Google Scholar 

  • Heiser, W.J. (1981). Unfolding analysis of proximity data. DSWO Press Leiden University.

    Google Scholar 

  • Markus, M.Th. (1994). Bootstrap confidence regions in non-linear multivariate analysis. Leiden: DSWO Press.

    Google Scholar 

  • Meulman, J.J. (1984). Correspondence Analysis and Stability. Research Report RR-84-01, Leiden University: Dept. of Data Theory.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Data Theory, Leiden University, Netherlands

    Monica Th. Markus

Authors
  1. Monica Th. Markus
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department for Statistics and Probability Theory, University of Technology Vienna, Wiedner Hauptstraße 8-10, A-1040, Vienna, Austria

    Rudolf Dutter

  2. Department of Statistics, OR and Computer Science, University Vienna, Universitätsstraße 5, A-1010, Vienna, Austria

    Wilfried Grossmann

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Markus, M.T. (1994). Bootstrap Confidence Regions for Homogeneity Analysis; the Influence of Rotation on Coverage Percentages. In: Dutter, R., Grossmann, W. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-52463-9_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-52463-9_38

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0793-6

  • Online ISBN: 978-3-642-52463-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation