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

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  • Schmid, Friedrich
  • Schmidt, Axel

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  • 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
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    References listed on IDEAS

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    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.
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    Cited by:

    1. 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.
    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. 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.
    4. 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.

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