Moreover, it is shown by a sequence of propositions that G-optimal polynomial designs remain G-optimal under smoothing spline models for a subclass of models.
Exponential dispersion models include a subclass of models characterized by this variance to mean power function, and which represents limiting forms for a broad range of statistical models [ 5].
For decision tree models, we propose a mixed integer programming formulation that is valid for a subclass of RDU models (corresponding to risk seeking behaviors).
While all current models have Siletzia rifting away from the continent after accretion or formation, a subclass of "rifted" models consider the rifting to have caused the Siletzia eruptions.
This condition is particularly useful for a subclass of PARALIND/CONFAC models with Φ ( 2 ) = Φ ( 3 ) = I R, i.e., when collinearity is confined within the first matrix factor.
Their approach, however, is applicable only to a subclass of Boolean models: For each species X i we have a set of activators A i and a set of inhibitors I i of X i.
For models in the SBML, the following three interpretations are disjoint: the model is a subclass of C, the model is a subclass of things that have the function C, and the model is a subclass of things that have a function that must be realized by C. In each of these alternatives, C is interpreted differently: as a kind of physical object, a kind of function or a kind of process.
Recently, Rue et al.[ 37] proposed an approximate alternative for parameter estimation in a subclass of Bayesian hierarchical models, the so-called latent Gaussian models.
Again, one can restrict one's attention to a subclass of sheaves by considering model pairs (for example, one can consider complexes of sheaves with constructible cohomology).
Functional expansion (FEx) models are a subclass of the general block-oriented model structure for nonlinear process systems.
