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While the model will indicate the preferred alternative given available information under existing circumstances, it is highly likely that future economic, environmental, political, and social needs will shift due to a variety of factors.
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The results of the modelling will indicate whether, based on the currently available information, the new treatment should be recommended.
If the uploaded model has errors and cannot be parsed correctly, iModel will indicate to the user that the model is incorrect.
Within these models, the group variable will indicate differences between groups at baseline, the time variable will indicate change over time in the reference (i.e., active control) group, and the group × time variable will indicate whether change over time differs between groups.
We will indicate this model as (mathbf{G} ( alpha, beta, gamma; mathbf{P})), where α, β, and γ are the three exponents in the gravity law, and (mathbf{P} = (p_{i})) is a vector containing the populations of the basins.
Indeed modelling the local demand profile will indicate the feasible pathways through identifying the needs.
A significant deviation between the observed value and the null distribution will indicate a model-misspecification problem.
If the AIC predicts observed cross-validated accuracy, it will indicate that the model does not overfit the data and can be used with confidence for genomic prediction.
The minimization achieved in equation (5) will indicate the ideal model order (namely, the optimal number of proteins that interact with the target protein) of the protein interaction system.
If input variables to energy models are exposed to variability, data fit of model results with respect to statistical data will indicate that exposure.
Names that start with QX will indicate S.U.V. and crossover models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com