Sentence examples for model or data from inspiring English sources

Inference of full CMT, including isotropic component, is performed by inversion from extended set of stations without considering any model or data uncertainty.

The CMT inversion strategy consists of the following processing steps: 1. Inference of full CMT, including isotropic component, is performed by inversion from extended set of stations without considering any model or data uncertainty.

To represent spatial objects in three-dimensional space, the related three-dimensional model or data structures have been investigated, such as grid system, linear octree, fence diagram, and tetrahedron network (TEN) (Pilout et al. 1994; Chen et al. 1995; Houlding 1994; Martinez et al. 2017).

Don't be afraid to contact digital health companies to clarify their offering, business model, or data privacy and security protocol.

This may have led to bias in the analyses which the multiple-imputation approach did not redress, as in the case of an incorrectly specified imputation model or data which were 'missing not at random'.

Goodness-of-fit measures, including the coefficient of determination R, as well as statistical tools for regression diagnostics, such as residual analysis, detection of influential cases, and checking for multi-collinearity, were applied to discover model or data problems.

In its absence, they have been forced to develop ad hoc solutions and data models for importing and representing genome data from Ensembl either directly accessing the raw MySQL datasources (which have an extremely complex data model) or retrieving data from Web Service calls to Ensembl BioMart and converting the raw data to the user's own genetic data model.

Also, from a statistical modeling or data analysis point of view, capabilities to address unrestricted nonlinear relations would be welcome.

Up to now, most examples of using the MASW technique are focused on 2D models or data from a 1D linear receiver spread.

Evaluation of maps generated from different conceptual models or data processing approaches at spatial level has importance in many geoenvironmental applications.

Being an important variable for various applications, for example hydrological and weather prediction models or data assimilation, a large range of global soil moisture products from different sources, such as modeling or active and passive microwave remote sensing, are available.