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A note on inference for P(X > Y) for right truncated exponentially distributed data

Author

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  • L. Jiang
  • A. Wong

Abstract

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Suggested Citation

  • 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.
    • Handle: RePEc:spr:stpapr:v:49:y:2008:i:4:p:637-651
    DOI: 10.1007/s00362-006-0034-3
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    Citations

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    Cited by:

    1. Ali Genç, 2013. "Moments of truncated normal/independent distributions," Statistical Papers, Springer, vol. 54(3), pages 741-764, August.
    2. Giuliana Cortese & Laura Ventura, 2013. "Accurate higher-order likelihood inference on $$P(Y>X)$$," Computational Statistics, Springer, vol. 28(3), pages 1035-1059, June.
    3. Sumith Gunasekera, 2015. "Generalized inferences of $$R$$ R = $$\Pr (X>Y)$$ Pr ( X > Y ) for Pareto distribution," Statistical Papers, Springer, vol. 56(2), pages 333-351, May.
    4. Filippo Domma & Sabrina Giordano, 2013. "A copula-based approach to account for dependence in stress-strength models," Statistical Papers, Springer, vol. 54(3), pages 807-826, August.
    5. Luca Greco & Laura Ventura, 2011. "Robust inference for the stress–strength reliability," Statistical Papers, Springer, vol. 52(4), pages 773-788, November.
    6. Eloísa Díaz-Francés & José Montoya, 2013. "The simplicity of likelihood based inferences for P(X > Y) and for the ratio of means in the exponential model," Statistical Papers, Springer, vol. 54(2), pages 499-522, May.

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