Concepts of Robustness

Christopher Field

Chapter Chapter 15 in A Celebration of Statistics, 1985, pp 369-375 from Springer

Abstract: Abstract A robust statistical procedure can be thought of as one which performs well over a range of situations and is able to stand up to a certain amount of abuse without breaking down. The development of the principal ideas of robustness is traced from about 1800 to the present, illustrating that scientists and statisticians have been concerned with the sensitivity of statistical procedures over this whole time and that some of the proposed solutions are closely related to robust estimates in use today. A brief overview of current research in robustness is given.

Keywords: M-estimates; median; optimal robust procedures; outliers; robustness; trimmed mean (search for similar items in EconPapers)
Date: 1985
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-8560-8_15

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DOI: 10.1007/978-1-4613-8560-8_15

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