Different permutations of the three dimensions generated multiple model types.
All results cover the important case when = 2 in one and two dimensions.
To encompass the two parties and seven issue dimensions, we estimated fourteen separate models.
Our purpose here is to elaborate these analytical dimensions in relation to workplace discourse.
More indirectly, these two stylistic dimensions mark different epistemic relations to the discourse, emphasizing and privileging different kinds of information.
However, this comes at the cost of weakening the ability of sunspot models to explain fluctuations along some dimensions.
They found that higher-dimensional splines offered significant improvements over standard discretization methods (although for dimensions higher than three, their algorithms are still very time-consuming).
The four th and additional dimensions explain very little of the variance in the data.
