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Complexity in Forecasting and Predictive Models

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  • Jose L. Salmeron
  • Marisol B. Correia
  • Pedro R. Palos-Sanchez

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Suggested Citation

  • Jose L. Salmeron & Marisol B. Correia & Pedro R. Palos-Sanchez, 2019. "Complexity in Forecasting and Predictive Models," Complexity, Hindawi, vol. 2019, pages 1-3, June.
  • Handle: RePEc:hin:complx:8160659
    DOI: 10.1155/2019/8160659
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    References listed on IDEAS

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    1. Carsten Hahn & Michael D. Johnson & Andreas Herrmann & Frank Huber, 2002. "Capturing Customer Heterogeneity Using A Finite Mixture Pls Approach," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 54(3), pages 243-269, July.
    2. Marko Sarstedt & Jan-Michael Becker & Christian M. Ringle & Manfred Schwaiger, 2011. "Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments?," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 63(1), pages 34-62, January.
    3. Pedro Palos-Sanchez & Felix Martin-Velicia & Jose Ramon Saura, 2018. "Complexity in the Acceptance of Sustainable Search Engines on the Internet: An Analysis of Unobserved Heterogeneity with FIMIX-PLS," Complexity, Hindawi, vol. 2018, pages 1-19, October.
    4. Babak Fotouhi & Michael Rabbat, 2013. "Degree correlation in scale-free graphs," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(12), pages 1-19, December.
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