Sentence examples for methods for weighting from inspiring English sources

Two methods for weighting were compared; one used equal weighting for all experts; the other relied on the confidence the experts expressed in their function – low, medium, high.

For example, a user can use the wiki drilldown feature to quickly locate all vulnerability assessments that employ an indicator-based approach and filter the information to identify which of these use expert judgment versus statistical methods for weighting indicators or how many use the Hazards of Place model as their theoretical framework.  .

In this research, we have introduced two new methods for weighting interactions in protein clusters to edit interactions and noise proteins.

The literature indicates that researchers are inconsistent in their approach to using EBV or deregressed data, and as to using the appropriate methods for weighting some data sources to account for heterogeneous variance.

Among the three methods for weighting match/mismatch scores per column using the base frequency in the reference set performed best by far, improving Q scores by almost 0.5% points (Fig. S9).

We are exploring ways to improve DELTA-BLAST's performance, e.g. by developing better methods for weighting coincident hits to several CDs, and by using more information stored in CDD, such as domain hierarchies and specific hit scores (see [ 26] for details).

This paper presents an information-theoretical method for weighting ensemble forecasts with new information.

[7, 8] proposed a methodology to build a Sustainable Mobility Index in urban areas, using a Multi Criteria Analysis method for weighting selected transport and land use indicators.

Control of the migration velocity may be used as a method for weighting storage conditions (i.e. opening of a package during the measurement period increases the migration velocity).

A recent example, TM-align, uses a novel method for weighting its distance matrix, to which standard dynamic programming is then applied.

A common method for weighting by multiple variables, called "raking," involves weighting the data by one variable at a time, in sequence and repeating as necessary, until the weighted percentages for the various demographics match their targets (or come reasonably close).