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Cellular automata and Riccati equation models for diffusion of innovations

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  • Renato Guseo

    ()

  • Mariangela Guidolin

    ()

Abstract

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File URL: http://hdl.handle.net/10.1007/s10260-007-0059-3
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Bibliographic Info

Article provided by Springer in its journal Statistical Methods and Applications.

Volume (Year): 17 (2008)
Issue (Month): 3 (July)
Pages: 291-308

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Handle: RePEc:spr:stmapp:v:17:y:2008:i:3:p:291-308

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Related research

Keywords: Diffusion models; Technology forecasting; Cellular automata; Riccati equation; Generalized Bass model; NLS; ARMAX;

References

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  1. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
  2. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
  3. Rajkumar Venkatesan & Trichy V. Krishnan & V. Kumar, 2004. "Evolutionary Estimation of Macro-Level Diffusion Models Using Genetic Algorithms: An Alternative to Nonlinear Least Squares," Marketing Science, INFORMS, vol. 23(3), pages 451-464, August.
  4. Tal Garber & Jacob Goldenberg & Barak Libai & Eitan Muller, 2004. "From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success," Marketing Science, INFORMS, vol. 23(3), pages 419-428, August.
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Cited by:
  1. Guseo, Renato & Guidolin, Mariangela, 2010. "Cellular Automata with network incubation in information technology diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2422-2433.
  2. Guseo, Renato & Mortarino, Cinzia, 2012. "Sequential market entries and competition modelling in multi-innovation diffusions," European Journal of Operational Research, Elsevier, vol. 216(3), pages 658-667.

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