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The R2 values (coefficient of determination) are about 0.99, indicating the linear relationship between PL (in decibel) and distance, as these models are deterministic.
In contrast, for N Trans =1 (the models are deterministic) the run-time and used space are significantly less than in the case considered above.
Author response: Indeed, stochastic implications of rare random events cannot be understood within the framework of this paper because the models are deterministic.
Synchronous models are deterministic since nodes are assumed to work in the same time scale, resulting in convergence to the same state from the same initial condition after the same number of time steps.
Several previous models are deterministic in nature (Krakauer and Komarova, 2003; Regoes et al., 2005; Martinez et al., 2011) and assume a well-mixed, spatially uniform cellular environment (Krakauer and Komarova, 2003; Regoes et al., 2005; Sardanyés et al., 2009; Thébaud et al., 2010; Martinez et al., 2011).
Our model differs from the dynamic models designed by van Boven, Hethcote and Edmunds in that those models are deterministic and population-based whereas ours is stochastic and individual-based [23], [64] [70].
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The models found were mainly static (149/153), deterministic (113/153) and aggregate (113/153); all aggregate models were deterministic.
Since the simulation results provided by the MR-FDPF model are deterministic, the extracted shadow fading from the MR-FDPF model is also deterministic.
Second, Claidière and Sperber (2007) point out that attractors in Henrich and Boyd (2002) model are deterministic.
and it becomes an equality when the state-space model is deterministic.
Although our model is deterministic, it is useful to comment on possibility to take uncertainty about its parameters into account.
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