Vladimir E. Bening

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We consider testing hypotheses about the location parameter of a symmetric distribution when a nite-dimensional nuisance parameter is present. For local alternatives, we study the power loss of asymptotically e cient tests in this problem, which is the di erence between the power of the most powerful test for a given value of the nuisance parameter (as if(More)
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