The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments
This is the peer reviewed version of the following article: Giuseppe Lamberti, Aluja, T., G. S. The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments. "Applied stochastic models in business and industry", Novembre 2017, vol. 33, núm. 6, p. 674-689,...
| Authors: | , , |
|---|---|
| Format: | article |
| Publication Date: | 2017 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/116172 |
| Online Access: | https://hdl.handle.net/2117/116172 https://dx.doi.org/10.1002/asmb.2270 |
| Access Level: | Open access |
| Keyword: | Mathematical statistics Numerical analysis--Simulation methods Fisher F heterogeneity models comparison Partial least squares path modeling Pathmox segmentation Anàlisi numèrica Estadística matemàtica Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys Àrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| Summary: | This is the peer reviewed version of the following article: Giuseppe Lamberti, Aluja, T., G. S. The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments. "Applied stochastic models in business and industry", Novembre 2017, vol. 33, núm. 6, p. 674-689, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/asmb.2270/pdf. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
|---|