Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data.
C. Ringle, M. Sarstedt, und E. Mooi. Data Mining, Volume 8 von Annals of Information Systems, Springer, (2010)
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%0 Book Section
%1 series/anis/RingleSM10
%A Ringle, Christian M.
%A Sarstedt, Marko
%A Mooi, Erik A.
%B Data Mining
%D 2010
%E Stahlbock, Robert
%E Crone, Sven F.
%E Lessmann, Stefan
%I Springer
%K dblp
%P 19-49
%T Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data.
%U http://dblp.uni-trier.de/db/series/anis/anis8.html#RingleSM10
%V 8
%@ 978-1-4419-1279-4
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author = {Ringle, Christian M. and Sarstedt, Marko and Mooi, Erik A.},
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booktitle = {Data Mining},
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editor = {Stahlbock, Robert and Crone, Sven F. and Lessmann, Stefan},
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pages = {19-49},
publisher = {Springer},
series = {Annals of Information Systems},
timestamp = {2019-06-04T14:31:57.000+0200},
title = {Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data.},
url = {http://dblp.uni-trier.de/db/series/anis/anis8.html#RingleSM10},
volume = 8,
year = 2010
}