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The robustness and efficiency of the new filter is demonstrated by some real data testing experiments.
Some small sample toy examples will be provided in the next section in order to illustrate the process followed by some real data examples.
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By applying to some real data and using simulations, we demonstrate that conditional Poisson models were simpler to code and shorter to run than are conditional logistic analyses and can be fitted to larger data sets than possible with standard Poisson models.
The performance of different proposed estimators were tested by simulations and applied to some real data examples.
In Section 3 we provide some illustrative toy examples followed by two real data examples.
In view of the results, we are able to design appropriate strategies that, at least to some extent, are confirmed by real data.
Though the variables on offer can be a little bewildering,, by using real data models the game provides a fascinating simulation of what the next 200 years have in store for Earth.
The associated methods and procedures have been tested by using real data from the CHAMP and GRACE missions.
The profits & costs of the TCL aggregator are then settled by the real data.
A preliminary model validation has been done by comparing real data with synthetic tones.
Finally, an experimental validation of the approach is performed by processing real data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com