In this study, the model uncertainty of a geotechnical model is characterised through a systematic comparison between model predictions and past performance data.
The goodness of a discrimination model is characterised by the percentage of correct classification or the so-called correct classification rate.
A response of the network model is characterised by the Green's function and can be studied by introducing a power function P k ( x, y, ω ) defined as P k ( x, y, ω ) = | G ˆ k ( x, y, ω ) | 2. Resonant dynamics of the model for a given pair of locations ( x, y ) are directly linked with a value Ω 0 at which the function P k ( x, y, ω ) has its maximum.
The SIM model is characterised by a continuum of individuals (households), who have different preferences and who differ with respect to characteristics like productivity or health status.
The model is characterised by a discrete representation of the environment and time evolution, essentially based on floor-field CA approaches.
The spectral content of the NGDC model is characterised by a high regional variability due to gaps in the current aeromagnetic and marine coverage of the Earth but also due to differences in the acquisition and subsequent processing of the various implicated datasets.
The model is characterised by a traceable answering process of questions submitted to the centres, which are stored in full text in a searchable database.
This model is characterised by a single surrogate effect of the immune system, which best fits to the CD8+ cytotoxic T-cell population (Kuznetsov et al. 1994).
The frailty model is characterised by its inclusion of a random effect, or frailty, term can account for the within-player correlation between injuries.
This model is characterised by mean functions and a parameter that models the correlation between repeated observations per subject (33 foods) and overdispersion (when the observed variance is higher that the variance of the theoretical model), which is common in count data.
