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Exact(6)
These models are stochastic, including various sources of noise: external and internal.
The explicit modelling of individuals in a large population, however, can be computationally intensive, especially when models are stochastic and/or spatially-explicit.
The other models are stochastic: the first ones are based on a given probability density function applying for the 10-min rainfall amounts of the hour to disaggregate.
The more complex and realistic models are stochastic models, which have different conceptualization and assumption of randomness, space and time (Sui and Maggio 1999) in comparison to deterministic models.
Usually, these models are stochastic.
The agent-based and metapopulation models are stochastic, spatially structured, and based on discrete time simulations.
Similar(54)
The models were stochastic in order to account for sample size and inadequate performance of the diagnostic test (sensitivity and specificity < 100%).
Another feature of DES models, being stochastic simulation models, is that they allow the accounting for uncertainty in the demand and delivery of health care (e.g. in the time a patient spends in a consultation).
Therefore, variation in physiology was taken into account as well by assuming that some of the parameters of the toxicokinetic model are stochastic.
Moreover, SB assumes Gaussian simulation outputs if the simulation model is stochastic (random).
On the other hand, for random sampling and CS (rows 5 6), the signal model is stochastic although deterministic models may also be envisioned [37].
Related(20)
systems are stochastic
models are uncertain
models are speculative
models are variable
models are opportunistic
models are rolling
models are inconsistent
models are unreliable
models are ineffective
models are available
models are tiny
models are elderly
models are scarce
models are different
models are scalable
models have stochastic
models represent stochastic
models are hard
models are appropriate
models suprathreshold stochastic
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