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On the contrary, the additive interference models evaluate the sum of the power of all the signals received by a reader in order to determinate if a collision occurs.
RSM is a collection of statistical techniques used to design experiments, build models, evaluate the effects of various factors and search the optimum conditions for the factors to achieve the desired responses.
Both models evaluate the effects of the same predictor variables with the exception of partner sex.
Therefore, top-down models evaluate the system from aggregate economic variables, as compared to bottom-up models that consider technological options or project specific climate change mitigation policies.
Most investigations performed in MDD animal models evaluate the levels of mRNAs, protein, or small molecules in brain, as reasonable for a psychiatric disease.
These probabilistic models evaluate the variability of input variables in order to produce estimates of risk, whose proper distributions can be inferred in the underlying populations [ 26].
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Generalized linear models evaluated the effects of site-specific microclimatic factors on abundance.
Generalized linear models evaluated the effects of site type, season, and weather on vector-mosquito abundance.
Among the kinetic models evaluated, the pseudo-second order model presented a better correlation with the experimental data.
Stepwise regression models evaluating the impact of patient characteristics, tumor characteristics, and treatment for each individual cancer type did not alter the significance of results (data not shown).
Both models evaluated the change in response over time using various nonlinear model structures.
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