Publication

Bootstrap confidence intervals for three-way component methods

Kiers, H. A. L., 2005, Classification - the Ubiquitous challenge.. Weigh, C. & Gaul, W. (eds.). Berlin: Springer, p. 73-84 12 p. (Studies in Classification, Data Analysis, and Knowledge Organization).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

The two most common component methods for the analysis of three-way data, CANDECOMP/PARAFAC (CP) and Tucker3 analysis, are used to summarize a three-mode three-way data set by means of a number of component matrices, and, in case of Tucker3, a core array, Until recently, no procedures for computing confidence intervals for the results from such analyses were available. Recently, such procedures have come available by Riu and Bro (2003) for CP using the jack-knife procedure, and by Kiers (2004) for CP and Tucker3 analysis using the bootstrap procedure. The present paper reviews the latter procedures, discusses their performance as reported by Kiers (2004), and illustrates them on an example data set.

Original languageEnglish
Title of host publicationClassification - the Ubiquitous challenge.
EditorsC. Weigh, W. Gaul
Place of PublicationBerlin
PublisherSpringer
Pages73-84
Number of pages12
ISBN (Print)3-540-25677-6
Publication statusPublished - 2005
Event28th Annual Conference of the Gesellschaft-fur-Klassifikation - , Germany
Duration: 9-Mar-200411-Mar-2004

Publication series

NameStudies in Classification, Data Analysis, and Knowledge Organization
PublisherSpringer-Verlag
ISSN (Print)1431-8814

Other

Other28th Annual Conference of the Gesellschaft-fur-Klassifikation
CountryGermany
Period09/03/200411/03/2004

Event

28th Annual Conference of the Gesellschaft-fur-Klassifikation

09/03/200411/03/2004

Germany

Event: Other

ID: 929756