Consistency in ordinal data analysis. I.
type: Item
instance of: scholarly article
title: Consistency in ordinal data analysis. I.
zbMATH Open document ID: 1033.91038
DOI: 10.1016/S0165-4896(01)00081-6
author: Andreas Pallack
author: Gerhard Herden
published in: Mathematical Social Sciences
publication date: 2003-04-02T00:00:00Z
review text: The aim of this paper to solve the problem of characterizing independently of any particular field of data analysis, i.e., cluster analysis, factor analysis etc., reduction methods that satisfy the modest reduction requirement in case that the data are measured in a scale that is not necessarily rational. In addition, there are characterized all goodness criteria for heterogeneity functions in case that this function only has ordinal significance.
reviewed by: Krzysztof Piasecki
Mathematics Subject Classification ID: 91C20
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62J99
zbMATH DE Number: 1891774
zbMATH Keywords: point homogeneous group
zbMATH Keywords: heterogeneity function
zbMATH Keywords: goodness criterion
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 1891774