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The theoretical foundations underling this measure allow identifying minimum and maximum skill requirements for each occupation and to classify workers into three groups: the well-matched, the under-skilled and the over-skilled.
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This measure allows a more scientific magnitude to be used called moment magnitude (Mw).
This measure allows us to examine various lag thresholds/cutoffs.
This measure allows us to set up a database for both reliable and unreliable SEE pools.
This measure allows us to trade off the quality of the clustering against the number of clusters.
This measure allows comparisons not only of the quality of different approximations, but also of different FN models.
This measure allows us to quantify the discrepancy between the joint probability of h and y and their marginal distributions under the assumption of independence.
While this measure allows to gauge the curvature along many occupation groups, it is difficult to decompose it in a meaningful way.
This measure allowed us to assess whether students generalized their understanding of natural selection to adaptations using examples not presented in the course materials.
This measure allows identifying the parts of the protein that, for geometrical reasons, when mutated, would result in relevant protein stability changes.
This measure allowed us to determine if the colocation of an oil rig and a hurricane track modified the types of distance-based damage judgments reported in Ruginski et al. (2016).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com