On the power of some adaptive tests in the one-sample problem View Full Text


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Article Info

DATE

1998-05

AUTHORS

V. E. Bening

ABSTRACT

In this paper, we study adaptive tests for the one-sample problem. The limit of the normalized difference between the power of a given adaptive test and that of the most powerful test is found. This limit directly yields the Hodges-Lehmann asymptotic deficiency of corresponding adaptive tests. Here adaptation means that the efficient score function of the test is estimated from the sample. A Fourier series estimator is used for the score function. More... »

PAGES

1468-1485

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02362282

DOI

http://dx.doi.org/10.1007/bf02362282

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051665889


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