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The Pathmox approach for PLS path modeling segmentation

Author
Giuseppe Lamberti; Aluja, T.; Sanchez, G.
Type of activity
Journal article
Journal
Applied stochastic models in business and industry
Date of publication
2016-08
Volume
32
Number
4
First page
453
Last page
468
DOI
https://doi.org/10.1002/asmb.2168 Open in new window
Repository
http://hdl.handle.net/2117/102002 Open in new window
URL
http://onlinelibrary.wiley.com/doi/10.1002/asmb.2168/abstract Open in new window
Abstract
Modeling has often failed to meet expectations, mostly because of the difficulty of comprehending relationships within phenomena and expressing them in mathematical models. Reality is frequently too complex to be reflected in a single model. This is often the case of marketing research, where variables relating to socioeconomics or psychographics constitute potential sources of heterogeneity. In such cases, the assumption of ‘one model fits all’ is unrealistic and may lead to inaccurate deci...
Citation
Giuseppe Lamberti, Aluja, T., Sanchez, G. The Pathmox approach for PLS path modeling segmentation. "Applied stochastic models in business and industry", Agost 2016, vol. 32, núm. 4, p. 453-468.
Keywords
heterogeneity, model comparison, partial least squares path modeling, segmentation, segmentation trees
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants