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Tables 1 and2 represent the results of mean, linear, quadratic, special cubic and full cubic models of the data obtained.
Tables 3 and4 present the results of mean, linear, quadratic, special cubic and full cubic models of the data obtained.
These techniques are used to define a multi-resolution index, where each node contains multiple models of the data.
where the probabilities will be estimated using different models of the data, as described in Section 6, and the classification rule is (2).
As it helps to form mental models of the data, for humans it is easier to reveal specific features and patterns of the obtained information.
It is based on building probabilistic models of the data at each local site, whose parameters are then transmitted to a central location.
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He is responsible for collecting the data, modeling of the data, and drafting the manuscript.
The conceptual data model of the data warehouse is depicted in Figure 1.
Which test model is appropriate for the longitudinal modelling of the data of these specific groups?
The modeling of the data access probabilities rested on the Zipf distribution with the parameter θ[31].
Indications are forwarded for integration to the next level model of the data collection/processing.
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