Highly reduced order models with nonlinear contact – extremely efficient computation. Modeled as linear components interconnected with highly reduced-order components. 1-linear reduced model, ...

The joint-regression model for two-way data assumes a linear relation between a continuous response and column effects. Standard methods for fitting the model condition on estimates of the column ...

Researchers have determined that the red cell distribution width-to-albumin ratio (RAR), a composite biomarker of systemic ...

Araki started with a linear model of evapotranspiration based on time and soil moisture. She then introduced a nonlinear variable to account for how plants change their water use in response to ...

By analysing various simulations of black-hole mergers, the team found that nonlinear effects can account for up to 10% of the GW signals – making them far more influential than previous studies had ...

Because the returns of a nonlinear derivative are not normally distributed, a standard VaR model would not work and instead, another model, such as a Monte Carlo VaR, would need to be used.

Comparison of model fit. The maps display the median R 2 differences per SMAP grid between (a) the nonlinear and linear loss models, and (b) the nonlinear and τ-based linear loss models. Credit ...