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The observations were organized in monthly clusters that correspond to individual work zones; and a two-level random parameters negative binomial model that reflected the structure of the observations was estimated.
If on the other hand, the nervous system made an inference about the structure of the observations, it could detect such stimuli on the basis of structure (correspondence) oddity.
The aim of constructing a theoretical model guided the structure of the observations in such a way that the first observations were very open, but they became more focused once theoretical categories and processes had been created.
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Operational safety and the operational status of engineering structures depend on the specifications given during the design stage of the structure, on the observations made during the construction and which continue when the structure is in use.
It illustrates the structure of the Observation class: Data, Events, Protocol and State, as well as Description for meta-information.
In this paper, we use the Kronecker structure to reformulate the ST-GLRT by taking advantage of the inherent spatio-temporal structure of the received observations.
This is in contrast to structure inference (or causal inference) models which also infer the causal structure of the multisensory observations.
A single-stage analysis accounts entirely for the variance-covariance structure of the recorded observations [ 6], therefore it is regarded as the gold standard.
For a locally optimum non-linear design problem for a chemical kinetic model, we investigate the influence of the dispersion structure of the random observation errors on the design and its efficiency.
which reveals the auto-regressive moving average (ARMA) structure (order (k,k)) of the observations y r as a random process.
The structure of the correlation between observations is modeled through the specification of a "within-subject," or here within-birth correlation matrix.
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