Sentence examples for model methodology and from inspiring English sources

Data were analyzed using generalized linear mixed model methodology, and loading time was analyzed using mixed model procedures.

The setting and models of simulation performed in MATLAB follow the parameters presented in "System model, methodology, and simulation settings" section for evaluation of FCS performance in OFDMA networks with FAPs.

To answer the questions of when ontologies should be used, how they can be used efficiently, and when they should not be used, we propose guidelines for selecting an appropriate model, methodology, and tool set to meet customer requirements while making most efficient use of resources.

Recently, Perez-Enciso et al. [ 13] have developed software combining a mixed model methodology and a maximum likelihood approach, which can model the specific X chromosome features in a QTL analysis.

Using these criteria, we evaluate the Object Process modeling Methodology and apply it for generating a detailed ERP system model.

A detailed discussion of the geomechanical modelling methodology and the derivation of the strata permeabilities and gas flow modelling adopted is presented.

The VITAL standard and its packages provide us with a uniform modeling methodology and a tool box of types, functions, and procedures.

This paper presents a cell-based flexible actuator modeling methodology and the General Fingerprint Method for systematically and efficiently calculating the actuators' respective dynamic equations of motion.

With a focus on the energy use, this paper outlines an energy modelling methodology and decision approach to derive the most desirable scheme for a given project.

This example model is developed step-by-step with the rube modeling methodology and associated development tools to demonstrate the practical feasibility of integrating customized software model visualization with formal software modeling processes.

The use of null-model methodology and the significantly higher results than randomly generated models indicated that the relationship between species occurrence and selected predictors performed significantly better than expected at random [81].