Sentence examples for model with multiplicative from inspiring English sources

The analyzed model with multiplicative mistakes has R(a t − 1) = μ t, and consequently, b t  = μ t (1 + ϵ t ).

All of these are significant parts of practical wireless systems which, if handled poorly, can cause significant performance degradation, Note that additive white Gaussian noise model with multiplicative fading is a highly oversimplified abstraction of an actual wireless link, which almost always has to deal with severe nonlinearities, finite precision, and lack of shared clock reference.

The global null hypothesis of no association between haplotype frequency (by haplotype block) and cancer was tested, by comparing a model with multiplicative effects for each common haplotype (treating the most common haplotype as the referent) to the intercept-only model.

The influence under the disease model with multiplicative relationship (h AA > h Aa > h aa ) is similar to that with additive relationship (Fig. 2).

The SCr data were described using a nonlinear mixed-effects model with multiplicative inter-individual random effects and an additive residual random effect (measurement error) to characterize the relationship between tofacitinib exposure and SCr levels.

To assess whether combining age groups was appropriate, a model with multiplicative interaction terms between age category and swimming was compared with a model without these interaction terms using a Likelihood Ratio Test.

The influence and modeling of MRI inhomogeneity field on a novel midway-mapping framework using image models with multiplicative contrast changes was studied.

This paper provides the criterion for discussing stability analysis and synthesis of a class of complex nonlinear systems represented by Takagi Sugeno fuzzy models with multiplicative noise.

For decreasing the conservatism of the conventional PDC-based fuzzy control, the NQLF stability synthesis approach is developed in this paper to obtain relaxed stability conditions for T S fuzzy models with multiplicative noises.

This paper presents a relaxed scheme of fuzzy controller design for continuous-time nonlinear stochastic systems that are constructed by the Takagi Sugeno (T S) fuzzy models with multiplicative noises.

Indeed there is now a quite elegant body of rigorous theory growing up around neural field models with multiplicative stochastic forcing, as exemplified in the paper by Krüger and Stannat [18] using multiscale analysis, which moves beyond formal perturbation methods, to understand front propagation in particular.