IDEAS home Printed from
   My bibliography  Save this article

Statistical inference on comparing two distribution functions with a possible crossing point


  • Chen, Guijing
  • Chen, Jiahua
  • Chen, Yuming


Based on rank statistics, new distribution-free tests on the crossing point between two distribution functions are proposed. Simulation indicates that the new tests have higher power than tests in the literature. A new point estimate of the crossing point is given and is shown to be strongly consistent and asymptotically normal. Two kinds of asymptotically distribution-free confidence intervals of the crossing point have also been given.

Suggested Citation

  • Chen, Guijing & Chen, Jiahua & Chen, Yuming, 2002. "Statistical inference on comparing two distribution functions with a possible crossing point," Statistics & Probability Letters, Elsevier, vol. 60(3), pages 329-341, December.
  • Handle: RePEc:eee:stapro:v:60:y:2002:i:3:p:329-341

    Download full text from publisher

    File URL:
    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.


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

    Cited by:

    1. Dewan, Isha & Somanathan, Rohini, 2011. "The application of nonparametric tests to poverty targeting," Economics Letters, Elsevier, vol. 113(1), pages 58-61, October.
    2. Rohini Somanathan & Isha Dewan, 2003. "Identifying targeting with nonparametric methods: An application to an Indian microfinance program," Indian Statistical Institute, Planning Unit, New Delhi Discussion Papers 03-11, Indian Statistical Institute, New Delhi, India.
    3. Isha Dewan, 2008. "Poverty targeting in public programs: A Comparison of Some Nonparametric Tests and their Application to Indian Microfinance," Working Papers id:1516, eSocialSciences.


    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:stapro:v:60:y:2002:i:3:p:329-341. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.