Bootstrap confidence intervals for three-way component methodsKiers, 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 proceeding › Conference contribution › Academic › peer-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.
|Title of host publication||Classification - the Ubiquitous challenge.|
|Editors||C. Weigh, W. Gaul|
|Place of Publication||Berlin|
|Number of pages||12|
|Publication status||Published - 2005|
|Event||28th Annual Conference of the Gesellschaft-fur-Klassifikation - , Germany|
Duration: 9-Mar-2004 → 11-Mar-2004
|Name||Studies in Classification, Data Analysis, and Knowledge Organization|
|Other||28th Annual Conference of the Gesellschaft-fur-Klassifikation|
|Period||09/03/2004 → 11/03/2004|
28th Annual Conference of the Gesellschaft-fur-Klassifikation
09/03/2004 → 11/03/2004Germany