Sentence examples for modelling methodology has from inspiring English sources

An approximate model for two stream mix problems utilizing a combined perturbation/numerical modelling methodology has been developed [1].

While this modelling methodology has been validated by showing that the system as a whole reproduces the outbreak dynamics of a single dengue epidemic, the availability of new field data will permit further model validation and future model refinement, aiming at making the system more physically realistic.

Metabolic network modeling methodologies have been used extensively to analyze single organisms and monoculture systems [ e.g. [ 25, 26]].

The aligned modeling methodology has a number of advantages.

This spatiotemporal approach along with a well documented modeling methodology has revealed an integrated signaling system in a developmental model tissue that we cannot only model, but one that also predicts frequency responses to time-varying stimuli.

The development of mixed-model methodology has proceeded rapidly over the past years (Snijders and Bosker 1999; Pinheiro and Bates 2000; Venables and Ripley 2002; Faraway 2006; Galwey 2006; Gelman and Hill 2007), and mixed models are now commonly used in analyses of observational and experimental data.

Details on the cost model methodology have been published elsewhere [ 5].

Details of model methodology have been published previously 7 and worked examples are shown in the appendix.

As reviewed above, such models – either ANOVA based or, more recently, employing mixed model methodology – have long been used in the analysis of data from plant breeding trials, and are directly applicable to corresponding problems in animal breeding.

Over the last two decades, several formal modeling methodologies have emerged.

Modeling methodologies have been discussed in a wide range of research fields for many years.