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

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

  • Datos identificativos

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

  • Otros:

    Autor/es de la URV: Zamanzade, Ehsan Mahdizadeh, Mahdi
    Palabras clave: Bandwidth selection, Judgment ranking, Stress-strength model
    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.
    Año de publicación de la revista: 2016
    Tipo de publicación: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article

  • Palabras clave:

    Bandwidth selection, Judgment ranking, Stress-strength model

  • Documentos:

    DocumentPrincipal

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