A Distribution-Free Upper Confidence Bound for $\Pr \{Y < X\}$, Based on Independent Samples of $X$ and $Y$
Birnbaum, Z. W. ; McCarty, R. C.
Ann. Math. Statist., Tome 29 (1958) no. 4, p. 558-562 / Harvested from Project Euclid
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A solution for the problem of obtaining a distribution-free one-sided confidence interval for $p = \Pr \{Y < X\}$ has been proposed in [1]. At present a numerical procedure is given for computing the sample sizes needed for such a confidence interval with given width and confidence level.
Publié le : 1958-06-14
Classification:  
@article{1177706631,
     author = {Birnbaum, Z. W. and McCarty, R. C.},
     title = {A Distribution-Free Upper Confidence Bound for $\Pr \{Y < X\}$, Based on Independent Samples of $X$ and $Y$},
     journal = {Ann. Math. Statist.},
     volume = {29},
     number = {4},
     year = {1958},
     pages = { 558-562},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177706631}
}

Birnbaum, Z. W.; McCarty, R. C. A Distribution-Free Upper Confidence Bound for $\Pr \{Y < X\}$, Based on Independent Samples of $X$ and $Y$. Ann. Math. Statist., Tome 29 (1958) no. 4, pp.  558-562. http://gdmltest.u-ga.fr/item/1177706631/