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U-statistics for sequential change detection

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Abstract.

Large sample approximations for sequential U-statistics using anti-symmetric kernels are considered both under no-change and change hypotheses. These new approximations make it easy to perform sequential tests.

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Authors and Affiliations

  1. Department of Mathematical Sciences, University of Alberta, Edmonton, Alberta T6G 2G1, Canada (e-mail: egombay@gpu.srv.ualberta.ca), , , , , , CA

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Received: November 1999

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Gombay, E. U-statistics for sequential change detection. Metrika 52, 133–145 (2000). https://doi.org/10.1007/PL00003980

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  • DOI: https://doi.org/10.1007/PL00003980

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