Sentence examples for models with hierarchical from inspiring English sources

All models were fitted as restricted maximum likelihood mixed models with hierarchical decomposition (Type 1) using covariance structures as specified.

We checked for autocorrelation in the residuals of the models with hierarchical time-series models (using SPLUS 6.2) (21, 21 ).

We estimated student level changes in haemoglobin concentration in the intervention arms relative to the control arm using multilevel mixed effect linear models with hierarchical error structures allowing for random effects at the county and school levels.

The best fitting model of DNA evolution for Bayesian analyses was selected for each codon position for both mitochondrial (COI + COII) and nuclear (wg) sequences with MrModeltes v2 [ 30], comparing 24 nested models with hierarchical likelihood ratio tests (hLRT).

This specification of models with hierarchical recipes, rather than hierarchical models, offers great potential: In the process of building the model, nested recipes allow the ingredients in the different entities to interact and affect the final form of the model.

Finally, the mid-surface model with hierarchical semantic information is generated by stitching all discrete patches.

However, to the best of our knowledge, no algorithm has been proposed that can systematically translate an entire ER diagram into a multidimensional model with hierarchical snowflake structures.

A multi-degree-of-freedom model with hierarchical basis functions is adopted and the principle of the virtual work is used to define the time domain equations of motion.

Based on the established piecewise function for predicting the flame temperature, the cuboid flame model with hierarchical temperatures was proposed to determine the flame emissivity, the mean flame temperature of the model and the corresponding blackbody emissive power.

The comparison of this extended world model with hierarchical spatial representations produced by a fleet of robots traversing the logistic supermarket corridors enables the continuous assessment of inconsistencies between reality, i.e., the spatial representations collected from online 3D data, and the modelled information, i.e., the world model.

We also compared our proposed method with other competing methods on simulated dataset by using the VAR model with hierarchical structures.