Sentence examples for evaluating confidence from inspiring English sources

Hence, calculating and evaluating confidence limits and F tests permitted to arrive at a meaningful and reliable fitting procedure.

In discussing their data, Mickes et al. (2011) suggested that a lifetime of experience in evaluating confidence of memories makes the confidence scale natural to use even with no special instructions.

The probabilistic or classical reliability theory is built on the principles of probability theory which introduces the probabilistic measure for evaluating confidence levels; the theory introduced in this paper is based on the possibility theory which uses a new confidence measure: the measure of possibility.

JSim's optimization facilities support modeling steps 9 12 above (fitting solutions, assessing goodness of fit, examining parameter correlations, evaluating confidence limits).

As in the Bradford Hill considerations for causation, the GRADE approach considers consistency in effect estimates when evaluating confidence in the association and rating the quality of evidence (Schunemann et al. 2011).

Ferreira et al. (2011) highlighted that evaluating confidence in the results should not be neglected and difficulties associated with spatial and temporal scales of the assessment should be addressed.

The other is based on the differential evolution method (hereinafter called DE method), where we are not able to evaluate confidence intervals.

To evaluate confidence degree of computational and experimental data, a comparison between experimental neutron yield reported by AECL, BNL and theoretical data obtained by MCNPX 2.6.0 code calculations has been carried out for different targets.

One new computer program for spectral analysis improves the standard Lomb Scargle periodogram approach in two ways: (1) It explicitly adjusts the statistical significance to any bias introduced by variance reduction smoothing, and (2) it uses a permutation test to evaluate confidence levels, which is better suited than parametric methods when neighbouring frequencies are highly correlated.

When we were approached to use our industry methodology, typically used to discover the success factors of an Experience, to define and evaluate confidence, I jumped at the chance to work on something so imperative to a cause that is fundamental to the future.

One advantage of our methodology is that all proposed estimators require only the summary statistics (z-values or p-values) rather than the raw data, although the availability of raw data allows non-parametric bootstrap to evaluate confidence intervals.