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Generalizing univariate signed rank statistics for testing and estimating a multivariate location parameter

Generalizing univariate signed rank statistics for testing and estimating a multivariate location parameter

Abstract We generalize signed rank statistics to dimensions higher than one. This results in a class of orthogonally invariant and distribution free tests that can be used for testing spherical symmetry/location parameter. The corresponding estimator is orthogonally equivariant. Both the test and estimator can be chosen with asymptotic efficiency 1. …