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Linear regression models examined logWMHV.
Multiple regression models examined the relationship between individual BMI and BE measures.
Both divergence and flutter instabilities can occur over the range of beam models examined.
Models examined include: bidding exercises and the winner's curse, the Akerlof Model and adverse selection, the Principal-Agent model and risk sharing, moral hazard and contract design.
The models examined here may serve as pedagogic tools and, when suitably refined, as preliminary design tools.
The structural models examined range from single-storied to multi-storied (G + 2) and plan symmetric to asymmetric configurations.
Multiple regression models examined whether differences in SLEs within twin pairs were significantly associated with differences in OCS.
Multi-level logistic regression models examined baseline differences in levels of depression, anxiety and well-being across the housing groups.
We find that the genetic algorithm produces models that are significantly more accurate than the models examined by ZCS.
Their results indicate that the univariate NN model significantly outperformed four alternative univariate models examined in prior research.
The article describes in detail forecasting models examined for different time horizons, for which the coordination plans are made up.
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CEO of Professional Science Editing for Scientists @ prosciediting.com