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- W2067312184 abstract "The classical problem of testing treatment versus control is revisited by considering a class of test statistics based on a kernel that depends on a constant ‘a’. The proposed class includes the celebrated Wilcoxon-Mann-Whitnet statistics as a special case when ‘a’=1. It is shown that, with optimal choice of ‘a’ depending on the underlying distribution, the optimal member performs better (in terms of Pitman efficiency) than the Wilcoxon-Mann-Whitney and the Median tests for a wide range of underlying distributions. An extended Hodges-Lehmann type point estimator of the shift prameter corresponding to the proposed ‘optimal’ test statistic is also derived." @default.
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- W2067312184 date "1990-01-01" @default.
- W2067312184 modified "2023-09-24" @default.
- W2067312184 title "On a class of nonparametric tests for the treatment vs control problem" @default.
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- W2067312184 doi "https://doi.org/10.1080/03610629008830323" @default.
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