Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data

Christian M. Ringle, Marko Sarstedt, Erik A. Mooi. Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data. In Robert Stahlbock, Sven F. Crone, Stefan Lessmann, editors, Data Mining - Special Issue in Annals of Information Systems. Volume 8 of Annals of Information Systems, pages 19-49, Springer, 2010. [doi]

@incollection{RingleSM10,
  title = {Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data},
  author = {Christian M. Ringle and Marko Sarstedt and Erik A. Mooi},
  year = {2010},
  doi = {10.1007/978-1-4419-1280-0_2},
  url = {http://dx.doi.org/10.1007/978-1-4419-1280-0_2},
  researchr = {https://researchr.org/publication/RingleSM10},
  cites = {0},
  citedby = {0},
  pages = {19-49},
  booktitle = {Data Mining - Special Issue in Annals of Information Systems},
  editor = {Robert Stahlbock and Sven F. Crone and Stefan Lessmann},
  volume = {8},
  series = {Annals of Information Systems},
  publisher = {Springer},
  isbn = {978-1-4419-1279-4},
}