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• W2024501032 abstract "The notion of efficient test for a Euclidean parameter in a semiparametric model was introduced by Stein [Proc. Third Berkeley Symp. Math. Statist. Probab. 1 (1956) 187-195]. Such tests are locally most powerful for a wide class of infinite-dimensional nuisance parameters. The first formal application of this notion to a suitably parametrized two-sample problem was provided by Hájek [Ann. Math. Statist. 33 (1962) 1124-1147]. However, this and subsequent solutions appear to be not well-suited for practical applications. This article aims to show that an adaptive two-sample test introduced recently by Janic-Wróblewska and Ledwina [Scand. J. Statist. 27 (2000) 281-297] is locally most powerful under a more realistic setting." @default.
• W2024501032 created "2016-06-24" @default.
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• W2024501032 date "2003-12-01" @default.
• W2024501032 modified "2023-10-15" @default.
• W2024501032 title "Efficient and adaptive nonparametric test for the two-sample problem" @default.
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• W2024501032 doi "https://doi.org/10.1214/aos/1074290336" @default.
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