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Editorial, special issue on “Advances in Robust Statistics”

Author

Listed:
  • Marco Riani

    (Università di Parma)

  • Mia Hubert

    (KU Leuven)

Abstract

Starting with 2020 volume, the journal Metron has decided to celebrate the centenary since its foundation with three special issues. This volume is dedicated to robust statistics. A striking feature of most applied statistical analyses is the use of methods that are well known to be sensitive to outliers or to other departures from the postulated model. Robust statistical methods provide useful tools for reducing this sensitivity, through the detection of the outliers by first fitting the majority of the data and then by flagging deviant data points. The six papers in this issue cover a wide orientation in all fields of robustness. This editorial first provides some facts about the history and current state of robust statistics and then summarizes the contents of each paper.

Suggested Citation

  • Marco Riani & Mia Hubert, 2021. "Editorial, special issue on “Advances in Robust Statistics”," METRON, Springer;Sapienza Università di Roma, vol. 79(2), pages 121-125, August.
    • Handle: RePEc:spr:metron:v:79:y:2021:i:2:d:10.1007_s40300-021-00213-w
    DOI: 10.1007/s40300-021-00213-w
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    References listed on IDEAS

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    1. Sanjoy K. Sinha, 2019. "Robust small area estimation in generalized linear mixed models," METRON, Springer;Sapienza Università di Roma, vol. 77(3), pages 201-225, December.
    2. Stigler, Stephen M., 2010. "The Changing History of Robustness," The American Statistician, American Statistical Association, vol. 64(4), pages 277-281.
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