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A series may have both auto regressive and moving average components so both types of correlations are required to model the patterns.
We want to model the patterns of criminal incidents with these features and apply the model to predict the locations and times of future criminal incidents.
In biologically mega-diverse countries that are undergoing rapid human landscape transformation, it is important to understand and model the patterns of land cover change.
However, considering the homogeneous and dry landscape and since the objective of this study was to model the patterns and variations in the waterhole water levels and not the absolute water levels, the use of a constant run-off coefficient produces run-off estimates with a reliable precision.
Using this group of ALS mimics in our statistical model, the patterns of overall and between-group statistical differences remained the same (data not shown).
Although the figures in the table are derived from the model the patterns were very similar when examining the raw data, (for example the probability of remaining in cognitive health state 0 was 0.559 in the actively treated group versus 0.497 in the placebo group).
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We use this bit matrix structure to model the pattern mining as a systolic array problem.
In a more general model, the pattern for each mentor can itself evolve.
Furthermore, the inclusion of the correlated effects among neighboring hospitals or areas may help to model the pattern of influenza spread.
An alternative is to model the pattern of exposure for each individual over time and then relate exposure features to the outcome.
We emphasize that studies of product diffusion usually model the pattern of adoption of new technologies or products into a particular market.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com