This monograph extends the notion of locally most powerful rank tests to non-regular cases. Through this notion, the reader is led in a natural way to "non-standard" rank tests. An analysis of the finite sample and asymptotic properties of such rank tests is presented. An adaptive test procedure is also proposed and studied, and the results of a Monte Carlo simulation are given. An appendix derives the limit experiments needed to investigate the asymptotic optimality of these "non-standard" rank tests under local ...
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This monograph extends the notion of locally most powerful rank tests to non-regular cases. Through this notion, the reader is led in a natural way to "non-standard" rank tests. An analysis of the finite sample and asymptotic properties of such rank tests is presented. An adaptive test procedure is also proposed and studied, and the results of a Monte Carlo simulation are given. An appendix derives the limit experiments needed to investigate the asymptotic optimality of these "non-standard" rank tests under local alternatives.
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New. Trade paperback (US). Glued binding. 252 p. Contains: Unspecified. Lecture Notes in Statistics, 65. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.