Kernel-based estimation of P(X >Y) in ranked set sampling

• M. Mahdizadeh ^[1] ; Ehsan Zamanzade ^[2]
  1. [1] Hakim Sabzevari University

     Hakim Sabzevari University

     Irán

     
  2. [2] University of Isfahan

     University of Isfahan

     Irán

     
• Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 40, Nº. 2, 2016, págs. 243-266
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • This article is directed at the problem of reliability estimation using ranked set sampling. A nonparametric estimator based on kernel density estimation is developed. The estimator is shown to be superior to its analog in simple random sampling. Monte Carlo simulations are employed to assess performance of the proposed estimator. Two real data sets are analysed for illustration.

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