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Besides, we want to try other distributions of weights.
Distributions of weights (aggregated contact durations) recover well the ones of the data for all sampling methods, and are closer than the ones of the co-presence networks.
In addition, the distributions of weights should be examined to determine if results are sensitive to the few most extreme weights.
Even when the distributions of weights estimated by random forests and logistic regression in our simulations were comparable (both with a number of large weights), trimming substantially improved logistic regression but not random forests (which performed well without trimming).
The distributions of weights for propoxur were similar in Seattle and the full study population.
Basic statistical parameters of the three distributions of weights, as well as the weight populations themselves are reported.
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Table 2 shows the mean scores for EDI subscales and the percentage distributions of weight control concerns and behaviors.
The distribution of weights is scale-free and, regarding strength we can identify two different regimes.
First, exponential distribution of weights with the inverse scale parameter (lambda ) has been studied.
Additionally, experiments (not shown) indicated that in case of the ECFP, the colorings are smoother without equal distribution of weights.
This distribution of weights leads to scale-free networks with a power-law exponent of 2: (P(k) propto k^{-2}).
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