The phrase "a common dimension" is correct and usable in written English.
It can be used when discussing shared characteristics or aspects that are similar among different subjects or entities.
Example: "In our analysis, we found a common dimension that connects the various cultural practices across these regions."
Alternatives: "a shared aspect" or "a mutual characteristic".
Interaction would seem to require a common dimension or medium in order to be possible at all; what kind of dimension could host spiritual beings such as the monads are supposed to be? Disappointingly enough, on all these crucial issues Ward has nothing to say.
For example, a gene's Present/Absent call is a common dimension of the reported results of gene-expression microarray experiments.
In the case of the PPA on data sets with organs on a common dimension all probe sets are used.
It is worth noting that all reactions, including scanning, are expressed using a common dimension nt/s in this work.
Studies examining personality with multiple questionnaires found harm avoidance and neuroticism to be highly correlated and to compose a common dimension in factor analysis [ 56, 57].
The local response dependency can thus be accommodated by the calculation of testlets and does not impair the ability of a scale to measure a common dimension [ 21].
The fact that it works makes sense: two points can be very close in a Euclidian sense and not share any common dimension (a point on the x-axis can be close to the y-axis).
Muteki, J.F. MacGregor, T. Ueda, On the rapid development of new polymer blends: The optimal selection of materials and blend ratios, Industrial Engineering Chemical Research, Published on-line, May 25 (in press)] T- or L-shaped data matrices were combined using ideal or other known mixing rules to achieve a block data structure with a single common dimension as required in regression modeling.
Bifactor analyses of biological health questions and lived health questions supported the construction of BHS and LHS, in terms of the contribution of questions to a single common dimension.
We provided an overview of the more common dimension reduction techniques, followed by how those results can be used in flexible regression models.
Any elements of (mathcal {M}_{X}) have a common Hausdorff dimension by (a).
