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Another approach to asymptotics and bootstrap of randomly trimmed means

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Abstract

A unified, empirical processes based approach to the central limit theorem and to the bootstrap for randomly trimmed and Winsorized means is developed, with emphasis on Hampel's means.

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Author information

Authors and Affiliations

  1. Department of Mathematics, William Paterson University, 07470, Wayne, NJ, USA

    Zhiqiang Chen

  2. Department of Mathematics, U-3009, University of Connecticut, 06269, Storrs, CT, USA

    Evarist Giné

Authors
  1. Zhiqiang Chen
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  2. Evarist Giné
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Additional information

Research partially supported by the Center for Research, College of Science and Health, and by the ART program of the William Paterson University.

Research partially supported by NSF Grant No. DMS-0070382.

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Chen, Z., Giné, E. Another approach to asymptotics and bootstrap of randomly trimmed means. Ann Inst Stat Math 56, 771–790 (2004). https://doi.org/10.1007/BF02506489

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  • DOI: https://doi.org/10.1007/BF02506489

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