Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v50y2006i6p1583-1596.html
   My bibliography  Save this article

Nonparametric estimation of the coefficient of overlapping--theory and empirical application

Author

Listed:
  • Schmid, Friedrich
  • Schmidt, Axel
Abstract
No abstract is available for this item.

Suggested Citation

  • Schmid, Friedrich & Schmidt, Axel, 2006. "Nonparametric estimation of the coefficient of overlapping--theory and empirical application," Computational Statistics & Data Analysis, Elsevier, vol. 50(6), pages 1583-1596, March.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:6:p:1583-1596
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(05)00029-0
    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. Beirlant, Jan & Devroye, Luc, 1999. "On the impossibility of estimating densities in the extreme tail," Statistics & Probability Letters, Elsevier, vol. 43(1), pages 57-64, May.
    2. Clemons, Traci E. & Jr., Edwin L. Bradley, 2000. "A nonparametric measure of the overlapping coefficient," Computational Statistics & Data Analysis, Elsevier, vol. 34(1), pages 51-61, July.
    3. Mulekar, Madhuri S. & Mishra, Satya N., 2000. "Confidence interval estimation of overlap: equal means case," Computational Statistics & Data Analysis, Elsevier, vol. 34(2), pages 121-137, August.
    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. Eidous, Omar M. & Ananbeh, Enas A., 2024. "Kernel method for estimating overlapping coefficient using numerical integration methods," Applied Mathematics and Computation, Elsevier, vol. 462(C).
    2. Gordon Anderson & Oliver Linton & Yoon-Jae Wang, 2009. "Non Parametric Estimation of a Polarization Measure," Working Papers tecipa-363, University of Toronto, Department of Economics.
    3. Rolando Gonzales & Gabriela Aguilera-Lizarazu & Andrea Rojas-Hosse & Patricia Aranda, 2016. "Preference for women but less preference for indigenous women: A lab-field experiment of loan discrimination in a developing economy," Working Papers PIERI 2016-24, PEP-PIERI.
    4. Anderson, Gordon & Linton, Oliver & Whang, Yoon-Jae, 2012. "Nonparametric estimation and inference about the overlap of two distributions," Journal of Econometrics, Elsevier, vol. 171(1), pages 1-23.
    5. Bonica, Adam & Sen, Maya, 2015. "The Politics of Selecting the Bench from the Bar: The Legal Profession and Partisan Incentives to Politicize the Judiciary," Working Paper Series rwp15-001, Harvard University, John F. Kennedy School of Government.
    6. Bonica, Adam & Sen, Maya, 2017. "The Politics of Selecting the Bench from the Bar: The Legal Profession and Partisan Incentives to Introduce Ideology into Judicial Selection," Working Paper Series rwp17-048, Harvard University, John F. Kennedy School of Government.
    7. Piotr Tadeusz Wójcik, 2022. "The parallel convergence of income and educational achievements: joint distribution dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 527-548, June.
    8. Wang, Dan & Tian, Lili, 2017. "Parametric methods for confidence interval estimation of overlap coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 12-26.

    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. Wang, Dan & Tian, Lili, 2017. "Parametric methods for confidence interval estimation of overlap coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 12-26.
    2. Gordon Anderson & Oliver Linton & Yoon-Jae Wang, 2009. "Non Parametric Estimation of a Polarization Measure," Working Papers tecipa-363, University of Toronto, Department of Economics.
    3. Eidous, Omar M. & Ananbeh, Enas A., 2024. "Kernel method for estimating overlapping coefficient using numerical integration methods," Applied Mathematics and Computation, Elsevier, vol. 462(C).
    4. T. Fischer & U. Kamps, 2013. "Power maps in goodness-of-fit testing," Computational Statistics, Springer, vol. 28(3), pages 1365-1382, June.
    5. Anderson, Gordon & Linton, Oliver & Whang, Yoon-Jae, 2012. "Nonparametric estimation and inference about the overlap of two distributions," Journal of Econometrics, Elsevier, vol. 171(1), pages 1-23.
    6. Hamza Dhaker & Papa Ngom & Boubakari Ibrahimouf & Malick Mbodj, 2019. "Overlap Coefficients Based on Kullback-Leibler of Two Normal Densities: Equal Means Case," Journal of Mathematics Research, Canadian Center of Science and Education, vol. 11(2), pages 114-124, April.
    7. Jean‐Pierre Gauchi & Jean‐Charles Leblanc, 2002. "Quantitative Assessment of Exposure to the Mycotoxin Ochratoxin A in Food," Risk Analysis, John Wiley & Sons, vol. 22(2), pages 219-234, April.
    8. El-Aroui, Mhamed-Ali & Diebolt, Jean, 2002. "On the use of the peaks over thresholds method for estimating out-of-sample quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 39(4), pages 453-475, June.

    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:50:y:2006:i:6:p:1583-1596. 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.