IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v25y1995i3p231-240.html
   My bibliography  Save this article

Correspondence analysis of an artificial binary cylinder data

Author

Listed:
  • Endo, Hideki

Abstract

In applying correspondence analysis to a given data set, there are two ways to deal with it; free-choice type and item-category type (binary data). It is shown that circular data by Iwatsubo (1984) and cylinder data by Okamoto (1994b) presented so far for the free-choice type are solvable analytically for the item-category type too and that score vectors are similar for the both data types.

Suggested Citation

  • Endo, Hideki, 1995. "Correspondence analysis of an artificial binary cylinder data," Statistics & Probability Letters, Elsevier, vol. 25(3), pages 231-240, November.
    • Handle: RePEc:eee:stapro:v:25:y:1995:i:3:p:231-240
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-7152(94)00226-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Okamoto, Masashi, 1994. "Correspondence analysis of an artificial cylinder data," Statistics & Probability Letters, Elsevier, vol. 20(2), pages 101-112, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:25:y:1995:i:3:p:231-240. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.