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Locally best rotation-invariant rank tests for modal location
Authors:Ming-Tien Tsai  Pranab Kumar Sen
Institution:a Institute of Statistical Science, Academia Sinica, Taipei 11529, Taiwan, ROC
b Departments of Biostatistics, and Statistics and Operations Research, University of North Carolina, Chapel Hill, NC 27599-7420, USA
Abstract:For a general class of unipolar, rotationally symmetric distributions on the multi-dimensional unit spherical surface, a characterization of locally best rotation-invariant test statistics is exploited in the construction of locally best rotation-invariant rank tests for modal location. Allied statistical distributional problems are appraised, and in the light of these assessments, asymptotic relative efficiency of a class of rotation-invariant rank tests (with respect to some of their parametric counterparts) is studied. Finite sample permutational distributional perspectives are also appraised.
Keywords:62H11  62H15
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