One-tailed Type I error rates for balanced two-category UniODA with a random ordered attribute

Lowell Carmony, Paul Yarnold and Frank Naeymi-Rad

Annals of Operations Research, 1997, vol. 74, issue 0, 223-238

Abstract: Directional (one-tailed) two-category univariable optimal discriminant analysis has proved highly useful for applications involving ordered attributes. An important criterion in the use of this analysis for a given application is the generalized Type I error rate associated with a given level of classification accuracy. The distribution of optima arising from this analysis performed for random data had been discovered earlier, but not proven. This article presents a formal mathematical proof of this theoretical distribution for balanced applications. Copyright Kluwer Academic Publishers 1997

Keywords: optimal discriminant analysis; ordered data; statistical distribution theory; mathematical proof (search for similar items in EconPapers)
Date: 1997
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1018922421450 (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:spr:annopr:v:74:y:1997:i:0:p:223-238:10.1023/a:1018922421450

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1018922421450

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().