IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v43y2003i2p215-234.html
   My bibliography  Save this article

On tests of homogeneity based on minimum [phi]-divergence estimator with constraints

Author

Listed:
  • Menendez, M. L.
  • Pardo, J. A.
  • Pardo, L.
  • Zografos, K.

Abstract

No abstract is available for this item.

Suggested Citation

  • Menendez, M. L. & Pardo, J. A. & Pardo, L. & Zografos, K., 2003. "On tests of homogeneity based on minimum [phi]-divergence estimator with constraints," Computational Statistics & Data Analysis, Elsevier, vol. 43(2), pages 215-234, June.
  • Handle: RePEc:eee:csdana:v:43:y:2003:i:2:p:215-234
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(02)00207-4
    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. Haber, Michael, 1985. "Maximum likelihood methods for linear and log-linear models in categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 3(1), pages 1-10, May.
    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. Gęstwicki Filip Edmund & Wędrowska Ewa, 2016. "Assessment of the Degree of the Divergence and Inequality of Household Income Distribution in Poland in the Years 2005–2013," Folia Oeconomica Stetinensia, Sciendo, vol. 16(1), pages 50-62, December.
    2. Tomáš Hobza & Domingo Morales & Leandro Pardo, 2014. "Divergence-based tests of homogeneity for spatial data," Statistical Papers, Springer, vol. 55(4), pages 1059-1077, November.
    3. Ewa Wędrowska & Karolina Wojciechowska, 2015. "Economic convergence in Polish regions (voivodeships) 2000–2012," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 36, pages 403-412.

    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. Inés M. Varas & Jorge González & Fernando A. Quintana, 2020. "A Bayesian Nonparametric Latent Approach for Score Distributions in Test Equating," Journal of Educational and Behavioral Statistics, , vol. 45(6), pages 639-666, December.
    2. Högberg, Hans & Svensson, Elisabeth, 2008. "An Overview of Methods in the Analysis of Dependent ordered catagorical Data: Assumptions and Implications," Working Papers 2008:7, Örebro University, School of Business.
    3. Suesse, Thomas & Liu, Ivy, 2012. "Mantel–Haenszel estimators of odds ratios for stratified dependent binomial data," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2705-2717.
    4. Jokinen, Jukka, 2006. "Fast estimation algorithm for likelihood-based analysis of repeated categorical responses," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1509-1522, December.
    5. Paulino, Carlos Daniel M. & Silva, Giovani Loiola, 1999. "On the maximum-likelihood analysis of the general linear model in categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 30(2), pages 197-204, April.
    6. Alan Agresti & Ivy Liu, 2001. "Strategies for Modeling a Categorical Variable Allowing Multiple Category Choices," Sociological Methods & Research, , vol. 29(4), pages 403-434, May.
    7. Thomas Suesse & Ivy Liu, 2019. "Mantel–Haenszel estimators of a common odds ratio for multiple response data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(1), pages 57-76, March.
    8. Alan Agresti & I-Ming Liu, 1999. "Modeling a Categorical Variable Allowing Arbitrarily Many Category Choices," Biometrics, The International Biometric Society, vol. 55(3), pages 936-943, September.

    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:eee:csdana:v:43:y:2003:i:2:p:215-234. 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/locate/csda .

    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.