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Rejoinder to the discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”

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Acknowledgements

The work has been partially supported by the European Commission’s Hercule III programme 2014–2020 through the Automated Monitoring Tool project. This research benefits from the HPC (High Performance Computing) facility of the University of Parma, Italy. M.R. gratefully acknowledges support from the CRoNoS project, reference CRoNoS COST Action IC1408.

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Correspondence to Andrea Cerioli.

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Cerioli, A., Riani, M., Atkinson, A.C. et al. Rejoinder to the discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”. Stat Methods Appl 27, 661–666 (2018). https://doi.org/10.1007/s10260-018-00436-8

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  • DOI: https://doi.org/10.1007/s10260-018-00436-8

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