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Article
Nonparametric Overlap Coefficient Estimate Using Ranked Set Sampling
Journal of Nonparametric Statistics (2011)
  • Amal Helu, University of Jordan
  • Hani M. Samawi, Georgia Southern University
  • Robert L. Vogel, Georgia Southern University
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.
Keywords
  • overlap measures,
  • kernel density estimation,
  • relative bias,
  • relative efficiency,
  • ranked set sampling,
  • simple random sample
Disciplines
Publication Date
2011
Citation Information
Amal Helu, Hani M. Samawi and Robert L. Vogel. "Nonparametric Overlap Coefficient Estimate Using Ranked Set Sampling" Journal of Nonparametric Statistics (2011)
Available at: http://works.bepress.com/robert_vogel/50/