Sentence examples for weighting techniques from inspiring English sources

The results show that weighting techniques can result in inappropriate weights for some indicators.

Certain literature has attempted to replicate hedge fund returns using "clones" (de- fined as passive hedge fund replicators) that utilize various factor models and weighting techniques.

Weighting polling results by demographic characteristics may make the sample more representative, but there is increasing evidence that these weighting techniques will not remove all the bias that is introduced by missing so many voters.

It may be the case that standard sampling and weighting techniques are able to correct for sampling problems in a normal election — one in which voter turnout patterns remain predictable — but fail when the polls are missing portions of the electorate who are likely to turn out in one election but not in previous ones.

Thanks to the U.S. Census, we know what proportion of these groups are supposed to be in our sample, so when the proportion of men, or African-Americans, falls short in the sample, pollsters can make use of weighting techniques to correct for the shortfall.

Our results demonstrate that the BFI is stable to changes in the composing variables, aggregation rules and weighting techniques, confirming its appropriateness as a multi-domain indicator of biological fertility specifically designed for assessment of Italian soils.

When reporting prevalence data, data will first be weighted using a rim (marginal) weighting technique.

Data were weighted using the rim (marginal) weighting technique to match an English population profile on the dimensions of age, social grade, region, tenure, ethnicity, and working status within sex.

The mass is reconstructed with an analytical matrix weighting technique using distributions derived from simulated samples.

In this paper, a new discriminative likelihood score weighting technique is proposed for speaker identification.

Furthermore, a new discriminative likelihood score weighting technique was proposed for speaker identification, and a likelihood score weighting method was presented for the speaker identification task [24].