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

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • بيانات النشر:
      published
    • بيانات النشر:
      SORT- Statistics and Operations Research Transactions, 2016.
    • الموضوع:
      2016
    • نبذة مختصرة :
      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.
    • File Description:
      application/pdf
    • ISSN:
      2013-8830
      1696-2281
    • Relation:
      https://www.raco.cat/index.php/SORT/article/view/316145/406259
    • Rights:
      From February 2013 articles are under a Creative Commons license: CC BY-NC-ND You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work), you may not use the work for commercial purposes and you may not alter, transform, or build upon the work.
    • الرقم المعرف:
      edsrac.316145