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Although the model was augmented by more elaborate specifications of the orbits (most notably, first, by allowing for elliptical orbits and introducing a second quantum number to specify the elongation of the ellipse and, second, by allowing for the effects of relativity), the failure to generalize to many-electron atoms remained a fatal flaw.
In Model 2, the conditional mean model was augmented with the AR(1) term, which was found to be statistically significant along with the test for heteroscedastic ARCH effects.
Finally, R. Kaplinsky's model was augmented with a set of political initiatives to be implemented, primarily by the government, to support the country's progress in global chain and secure the best possible rent.
The conditional mean model was augmented further with AR(2) terms in Model 3. The estimation results reveal that both AR(1) and AR(2) terms are significant along with the F-statistic for the heteroscedastic ARCH effect.
Recently, Bosch et al., inspired by previous works [5, 10], presented a method in which the pLSA model was augmented using spatial pyramid in building the distribution of latent topics [39].
In comparison, the standard monetary DGE model was augmented by Christiano et al. (2014) to introduce the agency problems associated with financial intermediation in an otherwise standard model of business cycles.
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The model is augmented to incorporate the main features of the SSP.
The control model is augmented with an integrating disturbance model to compensate the steady-state offset.
The model is augmented with weighting functions specified by the performance demands and the uncertainty assumption.
This bicycle type model is augmented to form a dynamic model that considers an actuation of the four wheels.
For localization, the model is augmented with a source model providing a relation between global source states, e.g., position, and distributed field states, i.e., pressure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com