IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v46y2004i4p645-660.html
   My bibliography  Save this article

Linear rank tests for independence in bivariate distributions--power comparisons by simulation

Author

Listed:
  • Rodel, Egmar
  • Kossler, Wolfgang

Abstract

No abstract is available for this item.

Suggested Citation

  • Rodel, Egmar & Kossler, Wolfgang, 2004. "Linear rank tests for independence in bivariate distributions--power comparisons by simulation," Computational Statistics & Data Analysis, Elsevier, vol. 46(4), pages 645-660, July.
    • Handle: RePEc:eee:csdana:v:46:y:2004:i:4:p:645-660
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(03)00225-1
    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. Borkowf, Craig B., 2002. "Computing the nonnull asymptotic variance and the asymptotic relative efficiency of Spearman's rank correlation," Computational Statistics & Data Analysis, Elsevier, vol. 39(3), pages 271-286, 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. Belzunce, F. & Castano, A. & Olvera-Cervantes, A. & Suarez-Llorens, A., 2007. "Quantile curves and dependence structure for bivariate distributions," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 5112-5129, June.

    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. Christophe Croux & Catherine Dehon, 2010. "Influence functions of the Spearman and Kendall correlation measures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(4), pages 497-515, November.
    2. Denis Chetverikov & Daniel Wilhelm, 2024. "Inference for rank-rank regressions," IFS Working Papers WCWP11/24, Institute for Fiscal Studies.
    3. Fujita, André & Takahashi, Daniel Yasumasa & Balardin, Joana Bisol & Vidal, Maciel Calebe & Sato, João Ricardo, 2017. "Correlation between graphs with an application to brain network analysis," Computational Statistics & Data Analysis, Elsevier, vol. 109(C), pages 76-92.
    4. Schmid, Friedrich & Schmidt, Rafael, 2007. "Multivariate extensions of Spearman's rho and related statistics," Statistics & Probability Letters, Elsevier, vol. 77(4), pages 407-416, February.
    5. Denis Chetverikov & Daniel Wilhelm, 2023. "Inference for Rank-Rank Regressions," Papers 2310.15512, arXiv.org, revised Jul 2024.
    6. Christophe Croux & Catherine Dehon, 2008. "Robustness versus Efficiency for Nonparametric Correlation Measures," Working Papers ECARES 2008_002, ULB -- Universite Libre de Bruxelles.
    7. Kojadinovic, Ivan & Yan, Jun, 2010. "Comparison of three semiparametric methods for estimating dependence parameters in copula models," Insurance: Mathematics and Economics, Elsevier, vol. 47(1), pages 52-63, August.
    8. Perreault, Samuel & Duchesne, Thierry & Nešlehová, Johanna G., 2019. "Detection of block-exchangeable structure in large-scale correlation matrices," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 400-422.

    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:46:y:2004:i:4:p:645-660. 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.