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Alternative estimators are described along with their identifying assumptions, the behavioral implications of those assumptions, and the data requirements for implementation.
The higher standard deviations in the regional ODRs for the market scenarios compared with the social scenarios are, of course, a product of our assumptions: what the projections do is to reveal the fuller implications of those assumptions.
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However, the implications of these assumptions are typically not quantified.
You could: Do you understand the implications of these assumptions now?
The mathematical implications of these assumptions are discussed and the results are compared with the traditional approach, based on time-dependent current sources acting on constant impedances.
We discuss the implications of these assumptions later.
In particular, they should better explain the model assumptions (e.g. why press releases only influence the behavior of new players?) and the implications of these assumptions.
The implications of these assumptions will be discussed later, as the existing distribution of alcohol outlets in Philadelphia is fraught with exceptions of all sorts.
In general terms, building a model forces the modeler to lay out his or her assumptions clearly; analyzing and simulating the model determines the logical implications of these assumptions; and comparing the conclusions to experimental facts assesses the explanatory and predictive power of the mechanistic hypothesis.
If the implications of the assumptions made by the chosen models are not well understood, incorrect interpretations of simulation results will follow.
We discuss practical questions of numerical estimation, provide some illustrations of how the method works in the case of a GA, and discuss some implications of the assumptions made in deriving the estimates.
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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