IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v40y1975i4p575-577.html
   My bibliography  Save this article

On canonical analysis with fallible data

Author

Listed:
  • Huynh Huynh

Abstract

No abstract is available for this item.

Suggested Citation

  • Huynh Huynh, 1975. "On canonical analysis with fallible data," Psychometrika, Springer;The Psychometric Society, vol. 40(4), pages 575-577, December.
  • Handle: RePEc:spr:psycho:v:40:y:1975:i:4:p:575-577
    DOI: 10.1007/BF02291559
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02291559
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02291559?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. William Meredith, 1964. "Canonical correlations with fallible data," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 55-65, March.
    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.
    1. William Meredith & John Tisak, 1982. "Canonical analysis of longitudinal and repeated measures data with stationary weights," Psychometrika, Springer;The Psychometric Society, vol. 47(1), pages 47-67, March.
    2. Mair, Johanna & Rata, Cristina, 2004. "Corporate entrepreneurship: Linking strategic roles to multiple dimensions of performance," IESE Research Papers D/551, IESE Business School.
    3. William Meredith & Roger Millsap, 1985. "On component analyses," Psychometrika, Springer;The Psychometric Society, vol. 50(4), pages 495-507, December.
    4. Cajo Braak, 1990. "Interpreting canonical correlation analysis through biplots of structure correlations and weights," Psychometrika, Springer;The Psychometric Society, vol. 55(3), pages 519-531, September.
    5. Gene Glass, 1966. "Alpha factor analysis of infallible variables," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 545-561, December.
    6. Cruz-Cano, Raul & Lee, Mei-Ling Ting, 2014. "Fast regularized canonical correlation analysis," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 88-100.

    More about this item

    Statistics

    Access and download statistics

    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:spr:psycho:v:40:y:1975:i:4:p:575-577. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.