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A language L is said to be κ-compact (resp. weakly κ-compact) if whenever Δ is a set of L-sentences (resp. a set of L-sentences of cardinality ≤ κ) and each subset of Δ of cardinality < κ has a model, so does Δ.
He does not present a quantified model, so doesn't really account for the shortfall of the CBO Keynesian modeling.
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Chances are you're not a model so don't try to drape yourself ever so languidly here, there and elsewhere.
The new controller looks the same as the current model so don't expect anything from that department as the change is inside.
Just because you look like Tyra Banks does NOT mean you are a world famous model, so don't turn cocky.
Just as we need black students graduating top of their class at Harvard and brilliant female astronauts as our role models, so do we need our diverse literary heroes to remind us that the world is a playground for all, no matter who you are.
On the downside, staining and clogging can be an issue with some models, so do your research.
Finally, our model is not a dynamic transmission model and so does not take account of any herd effects.
As the degree of misspecification of either the propensity score or outcome model increases, so does the bias and the root mean square error, while the coverage decreases.
As the validity of animal models increases, so does the expectation that they may provide additional insights concerning TS and its associated comorbidities.
Moreover, as the model order increases so does the potential for over-fitting.
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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