IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v61y1996i1p7-29.html
   My bibliography  Save this article

Probability matrix decomposition models

Author

Listed:
  • Eric Maris
  • Paul Boeck
  • Iven Mechelen

Abstract

No abstract is available for this item.

Suggested Citation

  • Eric Maris & Paul Boeck & Iven Mechelen, 1996. "Probability matrix decomposition models," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 7-29, March.
  • Handle: RePEc:spr:psycho:v:61:y:1996:i:1:p:7-29
    DOI: 10.1007/BF02296956
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02296956
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02296956?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. Even Mechelen & Paul Boeck, 1990. "Projection of a binary criterion into a model of hierarchical classes," Psychometrika, Springer;The Psychometric Society, vol. 55(4), pages 677-694, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meulders, Michel & De Boeck, Paul & Realo, Anu, 2009. "The Circumplex Theory of National Pride," Working Papers 2009/41, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    2. Michel Meulders & Paul Boeck & Iven Mechelen, 2003. "A taxonomy of latent structure assumptions for probability matrix decomposition models," Psychometrika, Springer;The Psychometric Society, vol. 68(1), pages 61-77, March.
    3. Iwin Leenen & Iven Mechelen & Andrew Gelman & Stijn Knop, 2008. "Bayesian Hierarchical Classes Analysis," Psychometrika, Springer;The Psychometric Society, vol. 73(1), pages 39-64, March.
    4. Meulders, Michel & Boeck, Paul De & Mechelen, Iven Van, 2001. "Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations," Computational Statistics & Data Analysis, Elsevier, vol. 38(2), pages 217-233, December.
    5. Iwin Leenen & Iven Mechelen & Paul Boeck, 2001. "Models for ordinal hierarchical classes analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(3), pages 389-403, September.

    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. Iwin Leenen & Iven Mechelen & Paul Boeck & Seymour Rosenberg, 1999. "Indclas: A three-way hierarchical classes model," Psychometrika, Springer;The Psychometric Society, vol. 64(1), pages 9-24, March.
    2. Tom Wilderjans & Dirk Depril & Iven Van Mechelen, 2013. "Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms," Journal of Classification, Springer;The Classification Society, vol. 30(1), pages 56-74, April.
    3. Michel Meulders & Francis Tuerlinckx & Wolf Vanpaemel, 2013. "Constrained Multilevel Latent Class Models for the Analysis of Three-Way Three-Mode Binary Data," Journal of Classification, Springer;The Classification Society, vol. 30(3), pages 306-337, October.
    4. Meulders, Michel & Boeck, Paul De & Mechelen, Iven Van, 2001. "Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations," Computational Statistics & Data Analysis, Elsevier, vol. 38(2), pages 217-233, December.

    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:61:y:1996:i:1:p:7-29. 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.