IDEAS home Printed from https://ideas.repec.org/a/spr/metrik/v73y2011i1p1-22.html
   My bibliography  Save this article

A class of statistical models to weaken independence in two-way contingency tables

Author

Listed:
  • Enrico Carlini
  • Fabio Rapallo

Abstract

No abstract is available for this item.

Suggested Citation

  • Enrico Carlini & Fabio Rapallo, 2011. "A class of statistical models to weaken independence in two-way contingency tables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(1), pages 1-22, January.
    • Handle: RePEc:spr:metrik:v:73:y:2011:i:1:p:1-22
    DOI: 10.1007/s00184-009-0262-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00184-009-0262-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00184-009-0262-3?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. Jeong, Hyeong Chul & Jhun, Myoungshic & Kim, Daehak, 2005. "Bootstrap tests for independence in two-way ordinal contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 48(3), pages 623-631, March.
    2. Govaert, Gerard & Nadif, Mohamed, 2007. "Clustering of contingency table and mixture model," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1055-1066, December.
    3. Michael Greenacre, 1988. "Clustering the rows and columns of a contingency table," Journal of Classification, Springer;The Classification Society, vol. 5(1), pages 39-51, 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. Gérard Govaert & Mohamed Nadif, 2018. "Mutual information, phi-squared and model-based co-clustering for contingency tables," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 455-488, September.
    2. Emilio Carrizosa & Vanesa Guerrero & Dolores Romero Morales, 2023. "On mathematical optimization for clustering categories in contingency tables," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(2), pages 407-429, June.
    3. Javier Palarea-Albaladejo & Josep Martín-Fernández & Jesús Soto, 2012. "Dealing with Distances and Transformations for Fuzzy C-Means Clustering of Compositional Data," Journal of Classification, Springer;The Classification Society, vol. 29(2), pages 144-169, July.
    4. Wolf Dieter Heinbach & Stefanie Schröpfer, 2007. "Typisierung der Tarifvertragslandschaft. Eine Clusteranalyse der tarifvertraglichen Öffnungsklauseln (Identifying Types of Flexible Bargaining Agreements Using Cluster Analysis)," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 286/2007, Department of Economics, University of Hohenheim, Germany.
    5. John Martin, 2014. "Spatial processes and Galois/concept lattices," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 961-981, March.
    6. Vrontis, Demetris & Basile, Gianpaolo & Simona Andreano, M. & Mazzitelli, Andrea & Papasolomou, Ioanna, 2020. "The profile of innovation driven Italian SMEs and the relationship between the firms’ networking abilities and dynamic capabilities," Journal of Business Research, Elsevier, vol. 114(C), pages 313-324.
    7. Willem Heiser, 2004. "Geometric representation of association between categories," Psychometrika, Springer;The Psychometric Society, vol. 69(4), pages 513-545, December.
    8. Ronald L. Breiger & John W. Mohr, 2004. "Institutional Logics from the Aggregation of Organizational Networks: Operational Procedures for the Analysis of Counted Data," Computational and Mathematical Organization Theory, Springer, vol. 10(1), pages 17-43, May.
    9. Haedo, Christian & Mouchart, Michel, 2019. "Two-mode clustering through profiles of regions and sectors," LIDAM Discussion Papers ISBA 2019014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Heinbach Wolf Dieter & Schröpfer Stefanie, 2007. "Typisierung der Tarifvertragslandschaft / Identifying Types of Flexible Bargaining Agreements Using Cluster Analysis: Eine Clusteranalyse der tarifvertraglichen Öffnungsklauseln," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(3), pages 219-235, June.
    11. Wolf Dieter Heinbach & Stefanie Schröpfer, 2007. "Typisierung der Tarifvertragslandschaft. Eine Clusteranalyse der tarifvertraglichen Öffnungsklauseln," IAW Discussion Papers 28, Institut für Angewandte Wirtschaftsforschung (IAW).
    12. 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.
    13. Haedo, Christian & Mouchart, Michel, 2018. "Automatic biclustering of regions and sectors," LIDAM Discussion Papers ISBA 2018026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    14. repec:jns:jbstat:v:227:y:2007:i:3:p:219-235 is not listed on IDEAS
    15. Govaert, Gerard & Nadif, Mohamed, 2007. "Clustering of contingency table and mixture model," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1055-1066, December.
    16. Audzeyeva, Alena & Summers, Barbara & Schenk-Hoppé, Klaus Reiner, 2012. "Forecasting customer behaviour in a multi-service financial organisation: A profitability perspective," International Journal of Forecasting, Elsevier, vol. 28(2), pages 507-518.
    17. Akinori Okada & Hans-Hermann Bock & F. Murtagh & F. Rohlf & Wei-Chien Chang & Shizuhiko Nishisato & Robert Sokal & Carolyn Anderson & Frank Critchley & Frank Critchley & Robert Golden, 1989. "Book reviews," Journal of Classification, Springer;The Classification Society, vol. 6(1), pages 121-161, December.
    18. Hirotsu, C., 2009. "Clustering rows and/or columns of a two-way contingency table and a related distribution theory," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4508-4515, October.
    19. Romano, Bernardino & Zullo, Francesco & Saganeiti, Lucia & Montaldi, Cristina, 2023. "Evaluation of cut-off values in the control of land take in Italy towards the SDGs 2030," Land Use Policy, Elsevier, vol. 130(C).
    20. Alessandra Amendola & Marialuisa Restaino, 2017. "An evaluation study on students’ international mobility experience," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 525-544, March.
    21. Christian Haedo & Michel Mouchart, 2022. "Two-mode clustering through profiles of regions and sectors," Empirical Economics, Springer, vol. 63(4), pages 1971-1996, October.

    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:metrik:v:73:y:2011:i:1:p:1-22. 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.