Sentence examples for a statistical representation from inspiring English sources

This gave a statistical representation but without a spatial reference.

We employed orientation distribution functions as a statistical representation method for the observed orientation relationships.

It is pointed out that the ACER method, if properly implemented, will provide a statistical representation with error bounds of the exact extreme value distribution given by the data.

An "equivalent asperity", which is a statistical representation of the surface, was used to determine the deformation of the surface: this enabled the computation of the surface roughness of a surface that had been subjected to compression.

This paper provides a comprehensive survey of existing research into account signatures, an innovative account profiling technology which maintains a statistical representation of normal account usage for rapid recalculation in real-time.

For the case of polycrystalline and inhomogeneous materials, the added challenge is that nanoscale resolution is in general not compatible with the large sampling areas necessary to have a statistical representation of the specimen under study.

This provides a more complete representation of a regions color distribution than using a color center or a simple statistical representation, such as a Gaussian.

A representative volume element (RVE) is related to the domain size of a microstructure providing a "good" statistical representation of typical material properties.

(A and B ) Statistical representation of the CD4+ T cell response following immunization with OVA + LPS in IFA.

To address this issue, the present paper explores the idea of developing component-level models that incorporate the aggregate effects of other components by providing a compact statistical representation of the combined influence on a given component of all other system components.

In this form, the relationship among the gene expression is summarized (1) across all microarrays (i.e., it is a multivariate statistical representation, involving the entire matrix Y, rather than a single column), and (2) at the level of the joint marginal distribution within each microarray (i.e., it involves the full columns in Y, rather than just their individual elements).