Research Note The Impact of Heterogeneity and Ill-Conditioning on Diffusion Model Parameter Estimates

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The use of analogies in forecasting the annual sales of new electronics products (2013, methodology): “Right-hand data truncation tends to lead to under-estimates of p and overestimation of q when estimation is based on nonlinear least squares (Van den Bulte and Lilien, 1997, Bemmaor and Lee, 2002).”
Agent-based simulation of innovation diffusion: a review (2011, methodology): “For the Bass model, efforts to explain changes in parameter estimates due to underlying heterogeneity of the population were also made (e.g. Bemmaor and Lee 2002).”
A Cross-Disciplinary Exploration of Entrepreneurship Research (2007, unknown): “…2000; Cooper, 2000; Kotabe, 1990; Sood & Tellis, 2005; Sorescu, Chandy, & Prabhu, 2003), (b) innovation diffusion (Bass, Krishnan, & Jain, 1994; Bemmaor & Lee, 2002; Chandrashekaran & Sinha, 1996; Gatignon, Eliashberg, & Robertson, 1989; Gatignon & Robertson, 1985; Givon, Mahajan, & Muller,…”