Sentence examples for modeling approach described from inspiring English sources

A multivariable model was developed using the same modeling approach described previously to determine the anemia PR for iron deficiency and vitamin A deficiency.

We believe that the modeling approach described here will allow quantitative and objective comparisons of diverse C and N datasets that have been hindered by subjective descriptions of the past.

The fire modeling approach described here should be applicable to questions related to climate change and disturbance interactions, particularly within locations characterized by steep topography, where temporally or spatially dynamic vegetation significantly influences spread rates, where fire severity is variable, and where multiple disturbance types of varying severities are common.

The modeling approach described here is capable of examining other performance evaluation parameters such as the effect of interference tolerance (widehat {T_{text {TOL}}}) among PUs and SUs as well as the effect of SU residual self-interference.

A simple modeling approach, described by Wiedinmyer et. al. [13], was used to calculate the daily fire emissions of carbon dioxide (ECO2) in North America from 2002 through 2006.

The first is the development of specialized analysis procedures that are resistant to the anomalies in the data, extending standard analysis methods using fundamental ideas from robust statistics, such as the robust time-series modeling approach described by Martin and Yohai [10] or the robust-resistant spectrum estimation approach described by Martin and Thomson [11].

This modeling approach describes the establishment, growth, competition, and death of individual trees for modeled species on a 10,000-ha landscape with spatial resolution of 1 ha.

At last, the different model variants are compared with modeling approaches described in the literature.

The standard GUI-based fMRI data processing environments, such as SPM, FSL [ 62] or AFNI [ 63], do not implement most of the modeling approaches described in this review.

Future work should extend the intensive transcriptomic and modeling approaches described here, already supported by immunoblotting of selected key proteins, by applying the concept of proteomic signatures (73) as a diagnostic tool to pinpoint the targets of CORM action.

Although alternative approaches using new scales have been suggested as a way of improving the speed and accuracy of trials (for example [ 13]), the modeling approaches described here make use of scales widely used in clinical trials, patient registries and observational studies.