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- W2066530436 abstract "We show that the bootstrap method provides valid approximations to the sampling distribution of a weighted empirical process on D [0,1] even in the cases where it fails to converge weakly. Furthermore, the result is applied to construct valid bootstrap confidence sets in such pathological cases." @default.
- W2066530436 created "2016-06-24" @default.
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- W2066530436 date "1998-03-01" @default.
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- W2066530436 title "Bootstrapping weighted empirical processes that do not converge weakly" @default.
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- W2066530436 doi "https://doi.org/10.1016/s0167-7152(97)84156-9" @default.
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