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Continuous gene flow model assumes continuous gene flow between the populations.
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In addition, the model assumed continuous use of a drug when intermittent NSAID treatments are also known to be effective for some OA patients [30].
With regard to the transition analysis, we carried out a Markov chain model assuming continuous and homogeneous time fitted by maximum likelihood, with the same number of regressors as in the previous models (except religion, as indicated above).
Stochastic epidemic models treat information propagation as a discrete time process (Discrete Time Markov Chain) [7, 14] being more suitable for small-scale systems whereas deterministic epidemic models assume continuous processes relying on the law of large numbers and applying differential equations or inclusions [15, 16], thus being more suitable for large-scale systems.
This model assumes a continuous mixing along the flowpath similar to Fickian diffusion.
The classical EMQ model assumes a continuous issuing policy for satisfying product demand.
The barrier inhomogeneity model assumes a continuous spatial distribution of the local Schottky barrier patches.
DFA assumes continuous and normally distributed data.
Some epidemiological models have assumed continuous antigenic change [ 7- 9], while others have assumed episodic antigenic change [ 10].
In these models, an assumed continuous latent variable θ reflects the trait and every item is identified by thresholds β where a response in one category becomes more likely than a response in an adjacent category.
The model assumes that a continuous latent response variate underlies discrete item response categories.
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