Sentence examples for estimates and prediction from inspiring English sources

Then, we simulated underreporting by randomly excluding reports of WVCs and evaluated for relative changes in precision, parameter estimates, and prediction.

Agreement between MATLAB and SAAM II was warranted by intraclass correlation coefficients ≥0.73; no significant differences between corresponding mean parameter estimates and prediction of HID rate; and consistent residual analysis.

The control variables are updated iteratively in order to minimize the cost function, thereby improving estimates and prediction.

Our analyses on simulated and natural data sets demonstrate that fastSTRUCTURE estimates approximate posterior distributions on ancestry proportions 2 orders of magnitude faster than STRUCTURE, with ancestry estimates and prediction accuracies that are comparable to those of ADMIXTURE.

It is well known in regression diagnostics (see for example [ 29]) that the influence of an observation (on parameter estimates and prediction) is driven by both the respective residual and the diagonal element of the hat matrix.

By looking at the actual technical document describing the metrics of New York's APPR and VAM, even a layman can see the authors describe their models as "estimates" and "predictions" subject to wild variance.

A simulation study illustrates how incorporating covariates affecting choice behavior yields more efficient designs and more accurate estimates and predictions at the individual level.

This increases the width of confidence intervals on the parameter estimates and predictions like the MTTF compared to the fixed temperature case.

For estimates and predictions that have a correct and verifiable answer – not only a person's weight, but also questions like which movie would top the box office or the probability of a certain world political event – Logg found that people are more likely to trust estimates from algorithms than from other people.

Monitoring cancer incidence, mortality and survival are fundamental indicators which allow estimates and predictions of geographical and temporal changes of these diseases, enabling the design and set-up of adequate cancer control activities and national health programs.

While all methods were adequate, the simulated example demonstrated that a well-designed hierarchical analysis can result in the most accurate and precise parameter estimates and predictions, due to its ability to combine information across datasets.