Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2016

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

  • Dades identificatives

    Identificador: RP:2447
    Handle: https://hdl.handle.net/20.500.11797/RP2447
    Autors:
    Zamanzade, EhsanMahdizadeh, Mahdi
    Resum:
    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.

  • Altres:

    Autor/s de la URV: Zamanzade, Ehsan Mahdizadeh, Mahdi
    Paraules clau: Bandwidth selection, Judgment ranking, Stress-strength model
    Resum: 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.
    Any de publicació de la revista: 2016
    Tipus de publicació: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article

  • Paraules clau:

    Bandwidth selection, Judgment ranking, Stress-strength model

  • Documents:

    DocumentPrincipal

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