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High order state variable models of chemical processes can be reduced to lower order models by matching the frequency responses for those states which it is desired to retain.
High order state variable models of chemical processes can be reduced to lower order models by matching the moments of the impules responses for those states which it is desired to retain.
Inspired by the propagation of synfire waves through cortical layers [10], such systems can be regarded as basic phase variable models of feed-forward networks featuring synchronized groups, in which each pool can be treated as a phase oscillator that repetitively alternates a refractory period with a firing burst.
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Some European officials argue that Britain, which has long promoted the idea of a more variable model of European integration, with countries free to pick and choose the degree of cooperation, is now experiencing the downside.
Table 4 Dummy variable model of the day-of-the-week effect, subperiod analysis VW EW 1 2 3 4 5 6 7 8 9 10 Panel A: 1953-1970 Mon.
The third type of missing data which is the focus of the present article concerns missing values on background variables which are inherently due neither to the latent variable modeling of θ nor to the test design.
Latent variable modelling of omission propensity has revealed a negative relation with ability, that is, stronger test-takers omit fewer items (Holman and Glas 2005; Pohl et al. 2013).
In this study we applied a Bayesian latent variable model of rank data to the results of a battery of 11 cognitive tasks administered to 22 cotton-top tamarins.
25 We fitted the age specific proportions of the institutionalised population older than age 60 with a two variable model of exponential growth using additional information on the age distribution of elderly people living in nursing homes.
However, the two-variable models of a fast activator and slow inhibitor and their phase portraits of class I and II became qualitative prototypes for excitable elements in various biological [8], chemical [9], and physical contexts [10].
Without controlling for these variables, models of neurocognitive development will yield biased estimates of the marginal impact of correlated variables.
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