multiple testing

Joseph P. Romano, Azeem Shaikh and Michael Wolf

from Palgrave Macmillan

Abstract: Multiple testing refers to any instance that involves the simultaneous testing of more than one hypothesis. If decisions about the individual hypotheses are based on the unadjusted marginal p-values, then there is typically a large probability that some of the true null hypotheses will be rejected. Unfortunately, such a course of action is still common. In this article, we describe the problem of multiple testing more formally and discuss methods which account for the multiplicity issue. In particular, recent developments based on resampling result in an improved ability to reject false hypotheses compared to classical methods such as Bonferroni.

Keywords: Multiple Testing; Familywise Error Rate; real estate finance; Resampling (search for similar items in EconPapers)
JEL-codes: C12 (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.dictionaryofeconomics.com/article?id=pde2010_M000425 (text/html)
Access to full text is restricted to subscribers.

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:pal:dofeco:v:4:year:2010:doi:3826

Ordering information: This item can be ordered from
http://www.dictionar ... lp/faq#_Toc198623697

Access Statistics for this chapter

More chapters in The New Palgrave Dictionary of Economics from Palgrave Macmillan
Bibliographic data for series maintained by Sheeja Sanoj ( this e-mail address is bad, please contact ).