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Sequence and cluster analysis is applied to measures of body mass index for mothers and children for four waves of the Growing up in Ireland longitudinal data set. Optimal matching analysis is used to construct a dissimilarity matrix to which cluster analysis is then applied. Distinct...
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Angehalten von der Frage, inwieweit die schweizerischen Kantonalbanken als geschäftspolitisches Vorbild für die deutschen Landesbanken dienen können, umfasst der Beitrag zwei ineinandergreifende Analysebereiche: Im ersten Schritt wird das Geschäftsmodell beider Bankengruppen unter Bezugnahme...
Persistent link: https://www.econbiz.de/10011869927
Discriminant analysis for two data sets in IRd with probability densities f and g can be based on the estimation of the set G = {x : f(x) ≥ g(x)}. We consider applications where it is appropriate to assume that the region G has a smooth boundary. In particular, this assumption makes sense if...
Persistent link: https://www.econbiz.de/10009574887
Unobserved heterogeneity is a serious but often neglected problem in structural equation modelling (SEM) challenging the validity of many empirical results. Recently, a finite mixture approach to SEM has been proposed to resolve this problem but until now only a few studies analyse the...
Persistent link: https://www.econbiz.de/10009621412
Empirical applications of structural equation modeling (SEM) typically rest on the assumption that the analysed sample is homogenous with respect to the underlying structural model or that homogenous subsamples have been formed based on a priori knowledge. However, researchers often are ignorant...
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In empirical applications of structural equation modeling researchers often assume that the sample under investigation is homogenous unless observed characteristics allow for a division of the sample into mutual exclusive homogenous subgroups. If such information is not available, unobserved...
Persistent link: https://www.econbiz.de/10009582387
As an explorative technique, duster analysis provides a description or a reduction in the dimension of the data. It classifies a set of observations into two or more mutually exclusive unknown groups based on combinations of many variables. Its aim is to construct groups in such a way that the...
Persistent link: https://www.econbiz.de/10009583873