It transforms the original measurement signals into a model space by identifying the multi-dimensional relationships contained in the system.
The shape model is constructed in the model space by the definition of elementary shapes such as contours, elementary surfaces, solid primitives, and form features.
(2) Starting from an intercept model, the DSA algorithm searches the model space by making deletion, substitution and addition moves repeatedly until the model size exceeds the specified maximum value.
SSS is a neighborhood-based procedure that searches a model space by (1) using the current model to define a neighborhood of proposed models, (2) evaluating each proposal model within this neighborhood in parallel, (3) choosing a new model from these choices.
Hence, we first explored the model space by running all possible models one can build for combinations of three explanatory variables out of the set of 14. Hc and HcP were modeled using multiple logistic regressions, and we used two indicators to assess these models' goodness of fit.
The conclusions remain the same if I drop h-site terms and blow up the model space by introducing s-site terms, i.e. there is some support for the assumption besides dTTP induced R1dimerization results in [ 25] and the structure in [ 26]. 7. The model used in [ 20] has 7 parameters.
