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We used linear mixed-effect modeling (LME) to calculate erosivity predictors for each substrate.
The set of predictors for each sub-collection was both significant and homogeneous.
However, admissibility of those predictors for each studied variables are different.
The logical operation OR is used to combine the different predictors for each pixel.
Finally, the coefficient of determination (CoD) is employed to compute the probability of selecting different predictors for each gene.
This study was designed to determine the key predictors for each aspect of family management of families with children who have chronic conditions in China.
We posit that neighborhoods which have similar temporal profiles or similar contributions of venues to their temporal profile could be predictors for each other.
As part of our research we sought to establish the most salient predictors for each of the factors using the respondents' sociodemographic data.
To reduce variance, we use forward stepwise variable selection applied to the complete data to select predictors for each conditional model.
Once the effect categories are discovered, in the second step, affordance predictors for each behavior are obtained by learning the mapping from the object features to the effect categories.
The method was used by constructing 500 unpruned trees using a random sample of sqrt(N) of the available predictors for each tree and a 0.632 bootstrap sample of the data for each tree.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com