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The remaining 3 tests use multinomial regression techniques to allow each categorization of G to be the response variable, with E as the predictor variable: A logistic regression (this test is the same as that examined by Kraft et al. (9)), a proportional odds regression, and a multinomial regression are performed for binary, ordinal, and nominal codings of G.
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The performance of each categorization case was measured in terms of 1) overall model fit; 2) the statistical significance of individual coefficients; and 3) the consistency of coefficients with the order of levels of precursors (i.e. it is expected that "high" levels of precursors contribute more to crash risk than "low" level precursors).
In the first experiment, we assessed the relative risk that P. persimilis, N. californicus and A. andersoni posed to each other in IGP, allowing categorization of each species as a low- or high-risk IG predator of another species.
The methodology proposed in this paper can be utilized to make critical managerial decisions such as the selection of the parts characteristics of a product in accordance with the customer needs, estimation of the target cost of each part and categorization of the parts into different levels.
Categorization of each transcript within each dataset is provided in Additional file 1.
The framework consists of a classification regime for a frame by frame categorization of each 2D slice of the video.
In the following, we provide a brief description and explain the categorization of each CPI approach.
This allowed us to probe their categorization of each word with higher resolution and without the distraction of the movement task.
A functional categorization of each protein indicated that seven proteins belonged to various families of enzymes/kinases; five were transporter proteins, two transmembrane receptors, two molecular chaperones, and one each of the ligand-binding and adapter-like proteins (Tables 1& 2).
Outcomes considered for these analyses include binary categorization of each partnership as reporting a particular practice (e.g., UAI) and the number of reported UAI episodes within each partnership.
He then used cultural consensus analysis [76] to test the assumption that respondents shared a coherent cultural model of color classification and to determine the culturally appropriate categorization of each portrait.
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