When the degree of variation between healthcare organisations or geographical regions is quantified, there is often a failure to account for the role of chance, which can lead to an overestimation of ...

The research methodology in the second phase is a quantitative approach, and 9 hypotheses were raised in this study. 515 data was collected and after analyzing the responses and discarding incomplete, ...

Nonlinear models outperformed linear models, with the nonlinear mixed-effects model (incorporating stand age as a random effect) achieving the highest predictive accuracy. Furthermore, machine ...

Whether it's physical phenomena, share prices or climate models -- many dynamic processes in our world can be described mathematically with the aid of partial differential equations. Thanks to ...

Random effects/coefficients modeling of correlated outcomes can provide substantial improvements in model selection compared to directly specified covariance modeling. However, directly specified ...

The paper deals with a method for simulation of transmission line (TL) models with randomly varied parameters, based on the theory of stochastic differential equations (SDE). The random changes of ...

Multilevel mixed-effects model for volumetric estimation Subsequently, to evaluate the use of mixed-effects models to estimate the log volume of Eucalyptus spp., the Schumacher and Hall model was ...

Random factor analysis may also refer to a random effects model, which is used to decipher whether the outlying data is caused by an underlying trend or just simply random occurring events and ...