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A rank test for stochastically ordered alternatives
Authors:Girish Aras  S Rao Jammalamadaka  Mohammad Kafai
Institution:Statistics and Applied Probability Program , University of California , Santa Barbara, Santa Barbara, CA, 93106
Abstract:A rank test based on the number of ‘near-matches’ among within-block rankings is proposed for stochastically ordered alternatives in a randomized block design with t treatments and b blocks. The asymptotic relative efficiency of this test with respect to the Page test is computed as number of blocks increases to infinity. A sequential analog of the above test procedure is also considered. A repeated significance test procedure is developed and average sample number is computed asymptotically under the null hypothesis as well as under a sequence of contiguous alternatives.
Keywords:rank test  near-match  repeated significance test  contiguous alternatives  asymptotic relative efficiency  stochastically ordered
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