A PRACTICAL APPLICATION OF A TEST OF SIGNIFICANCE IN CLUSTER ANALYSIS
Han J. Kim,
Cameron S. Thraen and
No 284682, 1973 AAEA-CAES-WAEA Joint Meeting, August 8-11, Edmonton, Canada from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)
Cluster analysis can be used to objectively delineate economic entities. But the determination of the optimum number of clusters to be used in an analysis is generally left primarily to the discretion of the researcher. This report gives an example of how the F test and the Tukey D statistic may be applied in cluster analysis to reduce the subjectivity in determining an optimum number of clusters.
Keywords: Political; Economy (search for similar items in EconPapers)
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea73:284682
Access Statistics for this paper
More papers in 1973 AAEA-CAES-WAEA Joint Meeting, August 8-11, Edmonton, Canada from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().