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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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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Librería: ralfs-buecherkiste, Herzfelde, MOL, Alemania
Paperback/ broschiert. Condición: Gut. 252 S. Statistik Slightly brownished Paper. Guter Zustand/ Good Ex-Library. Cover with marks of a removed label. ha1081672 Sprache: Englisch Gewicht in Gramm: 400. Nº de ref. del artículo: 397331
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