A Fundamental Problem

Rand R. Wilcox ()
Additional contact information
Rand R. Wilcox: University of Southern California College of Letters, Arts & Sciences, Department of Psychology

Chapter Chapter 7 in Fundamentals of Modern Statistical Methods, 2010, pp 109-126 from Springer

Abstract: Abstract In the year 1960, John Tukey published a paper on the so-called contaminated or mixed normal distribution that would have devastating implications for conventional inferential methods based on means. Indeed, any method based on means would, by necessity, suffer from a collection of similar problems. Tukey’s paper had no immediate impact on applied work, however, because it was unclear how to deal with the practical implications of his paper. But it served as the catalyst for the theory of robustness that was subsequently developed by Frank Hampel and Peter Huber, and their results laid the foundation for getting practical solutions to the problems revealed by Tukey.

Keywords: Fundamental Problem; Outlier Detection; Normal Curve; Probability Curve; Leverage Point (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4419-5525-8_7

Ordering information: This item can be ordered from
http://www.springer.com/9781441955258

DOI: 10.1007/978-1-4419-5525-8_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().