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Existing innovation models are unrealistic and often incomplete, failing to incorporate the digital aspect of innovation and emphasizing speed over deep reflection.
First, the models are unrealistic: The still-influential waterfall, or stage-gate approach, for example, is overly linear, with little regard for the constant zigzagging between activities that may be called for.
Hence, the linearity and static nature of current IGE models are unrealistic assumptions when dealing with the stochastic nonlinear dynamics underlying disease transmission.
These models are unrealistic as they do not allow a stationary distribution of repeat counts (Calabrese and Sainudiin, 2005), thus, eventually leading to STR length which is infinite or zero both possibilities are obviously unreasonable.
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The Ne values obtained from this model are unrealistic to ensure long-term persistence of a species.
"In the case of North Korea the Libya model is unrealistic," he said in a telephone interview.
The point model is unrealistic for wheels, as they are of finite size and cannot touch the bottom of valleys.
If the model is unrealistic, invalid conclusions may be drawn.
The mixture of data from various origins does not necessarily mean that such a model is unrealistic.
After joining Singapore-based incubator program JFDI and working with mentors like Lumatic CEO Scott Rafer and Scrive board member Boris Nordenstrom, they realized that business model was unrealistic.
In practical situations, a precisely defined model is unrealistic because it violates the statistical distributions assumptions due to noise description and system models uncertainties (Chen et al. 2013).
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