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Nonparametric multiple testing procedures
Authors:Arthur Cohen  Yingqiu MaHarold Sackrowitz
Institution:Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ, USA
Abstract:Assume that we have ni independent observations from each of k independent populations. Each population has the same distribution except for a translation parameter. We are interested in specific pairwise differences of the parameters in various settings, such as treatment vs. control, change point or all pairwise differences. We propose new multiple testing procedures for the pairwise differences. The new procedures are based on ranks and they have desirable practical properties not shared by existing procedures. These include tests that satisfy the interval property. Furthermore, the test method provides an interval that serves as an estimate of the difference in the parameters of interest.
Keywords:Interval property  Permutation tests  Rank sum interval  Rank tests  Treatment vs  control
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