Sentence examples for model demographics from inspiring English sources

That said, you may have come across the Global Positioning System (GPS) and its use in monitoring volcanoes, the mapping of global deforestation with satellite imagery, or the creation of a geographic information system (GIS) to model demographics, and so the list goes on.

In this section we first describe the exogenous information used in the overlapping generations model: Demographics, capital depreciation rates, labor shares, the evolution of the educational distribution, age-specific productivities by educational attainment, pension replacement rates, and our own reconstruction of the labor-augmenting technological progress.

The areas under the curve (AUCs) of the core model (demographics and 2-year weight loss) and the expanded models described above were 0.72 and 0.76, respectively.

Variables suggested in previous research for individual medical conditions were incorporated into the model: demographics (patient age, sex, geographic region of residence, and health insurance plan type); comorbid health conditions; pre-index date medication history; and initial dosing levels.

Equation (2) is called a Fox surplus production model that has been used to build up certain prediction models such as microbial growth model, demographic model and fisheries model.

Unlike existing operational PSSs, IMPACT possesses unique and novel features that enable it to model demographic changes and urban travel demand for various age cohorts.

A recent study by Molina et al. (2011a) carried out analysis of demographic history by attempting to model demographic parameters from several phylogenetic datasets using the new generation of collascent models which allow for multiple branches, bottlenecks and populations.

After building the base model, demographic and genetic covariates were explored.

Accordingly, we model demographic factors that influence coalescent history and contemporary levels and patterns of diversity within each group [ 2].

Relevant 2-way interaction terms (involving exposure variables retained in the final model, demographic variables, and state) were also investigated for significance within each model.

The tests have been shown to be relatively insensitive to mutation rate, deviation from the stepwise mutation model, demographic history of population and sample size [ 16].