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Nonparametric overlap coefficient estimation using ranked set sampling

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  • Amal Helu
  • Hani Samawi
  • Robert Vogel

Abstract

Ranked set sampling is used to produce a nonparametric kernel estimator of the overlap measure. Some asymptotic properties of the kernel estimator of overlap measure are established. Simulation studies are used to get an insight about the performance of the estimator when the ranked set sampling is used. Illustration using real data is also provided.

Suggested Citation

  • Amal Helu & Hani Samawi & Robert Vogel, 2011. "Nonparametric overlap coefficient estimation using ranked set sampling," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 23(2), pages 385-397.
    • Handle: RePEc:taf:gnstxx:v:23:y:2011:i:2:p:385-397
    DOI: 10.1080/10485252.2010.533769
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    References listed on IDEAS

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    1. 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.
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