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This model is discrete in time.
The proposed model is discrete in time, but continuous in space.
The model is discrete in both time and space, which is an effective simplification to approximate to the solution of differential equations.
Recollection is an all-or-none process in which a specific memory of studying an item either succeeds or fails at being retrieved.2 The recollection process in the dual-process model is discrete, analogous to the detection process of the 1HT model.
The model is discrete in time with nonoverlapping generations.
Markov elements can also be incorporated in a proportional odds model, however, that type of model is discrete in time and the sampling times and frequencies can greatly influence the parameter estimates.
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Space, time, and the state of NaSch model are discrete.
Since the dependent variable in the model was discrete (e.g. number of cannibalistic events, number of matings), we used Generalized Linear Models with Poisson distributions controlled for overdispersion [56].
One of these discontinues models is Discrete Element Method, which is a family of numerical methods that defines the domain as a combination of independent elements.
According to Berto and Tagliabue [12], CA models are discrete in space and time, consisting of a countable family of uniform, simple units, typically called either 'cells' or 'atoms'atoms
In the overwhelming majority, these models were discrete event models using either the maximum change in a BTM, or a collection of BTMs, to attempt to predict BMD.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com