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Robust inference for the stress–strength reliability

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  • Luca Greco
  • Laura Ventura

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  • Luca Greco & Laura Ventura, 2011. "Robust inference for the stress–strength reliability," Statistical Papers, Springer, vol. 52(4), pages 773-788, November.
    • Handle: RePEc:spr:stpapr:v:52:y:2011:i:4:p:773-788
    DOI: 10.1007/s00362-009-0286-9
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    References listed on IDEAS

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    1. L. Jiang & A. Wong, 2008. "A note on inference for P(X > Y) for right truncated exponentially distributed data," Statistical Papers, Springer, vol. 49(4), pages 637-651, October.
    2. Gianfranco Adimari & Laura Ventura, 2002. "Quasi-likelihood fromM-estimators: A numerical comparison with empirical likelihood," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 11(2), pages 175-185, June.
    3. Adimari, Gianfranco & Chiogna, Monica, 2006. "Partially parametric interval estimation of Pr{Y>X}," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1875-1891, December.
    4. Stefanski L. A. & Boos D. D., 2002. "The Calculus of M-Estimation," The American Statistician, American Statistical Association, vol. 56, pages 29-38, February.
    5. Thomas J. DiCiccio & Anna Clara Monti & G. Alastair Young, 2006. "Variance stabilization for a scalar parameter," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(2), pages 281-303, April.
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    Cited by:

    1. Takeshi Emura & Chi-Hung Pan, 2020. "Parametric likelihood inference and goodness-of-fit for dependently left-truncated data, a copula-based approach," Statistical Papers, Springer, vol. 61(1), pages 479-501, February.

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