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Confidence intervals on p(y < x) for small sample sizes
Authors:John Stedl  Ken Fox
Institution:1. ICI Americas Inc. , Wilmington , Delaware;2. Marathon Oil Company , Findlay , Ohio
Abstract:When F = Ga, confidence intervals are derived and presented in graphs for p = P(Y < X), when X and Y are independent and the sample sizes are at most 25. Also, it is demonstrated via a monte carlo simulation that this is a robust procedure, when the distributions of X and Y differ by a location parameter.
Keywords:Lehmann alternatives  simulation  Mann-Whitney  location shift
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