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- W2000699896 abstract "In this paper, we define and study a new block bootstrap variation, the block bootstrap, that is applicable in the general case of approximately linear statistics, and constitutes an improvement over the original block bootstrap of Kunsch (1989). The asymptotic validity, and the favorable bias properties of the tapered block bootstrap are shown in two important cases: Smooth functions of means, and estimators. The important practical issues of optimally choosing the window shape and the block size are addressed in detail, while some finite-sample simulations are also presented." @default.
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- W2000699896 date "2002-12-31" @default.
- W2000699896 modified "2023-09-26" @default.
- W2000699896 title "The Tapered Block Bootstrap for General Statistics from Stationary Sequences" @default.
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