Sentence examples for quantified predictions from inspiring English sources

We critically review the possible mechanisms for the difference in mechanical properties between the tin- and air-sides of a float glass sheet and produce quantified predictions of likely changes from each mechanism.

Management choices are presently guided by quantified predictions produced by those fisheries models best supported by the facts or data a pragmatic approach to prediction that involves an inference from past experience and makes the implicit assumption that the future will be largely like the past.

The next steps are concerned with assessment and involve: (7) the use of models to make quantified predictions of the impacts of individual instruments and/or strategies; and (8) a comparison of these predictions, using an appraisal method which is consistent with the previously specified objectives.

Further highlighting the importance of quantified predictions, we found that adding a suite of resources is no more effective than adding a single, well-targeted resource.

Using a combination of newly collected and legacy soil data and a suite of spatial explanatory covariates, a total of 218 80 m resolution 3D soil attribute grids were produced using the digital mapping approach, together with quantified prediction uncertainties.

Further details regarding the computation of GBLUP and RKHS are provided in Appendix A. We quantified prediction accuracy using a replicated training testing evaluation.

Second, based on a variety of measures established at baseline, the PGSA provides a quantified prediction as to the expected time course of the outcomes selected by the investigators.

We quantify predictions of HP and orientation relationship (OR) between the parent and product crystals for such models in terms of a reference lattice in an approach called a topological model (TM).

A detailed model of ED throughput can accurately quantify predictions for management interventions that are formulated by experience and intuition.

In common with Section 4.1 we use leave-one-out cross-validation to assess predictive accuracy, again using bias, RMSPE and coverage probabilities to quantify prediction performance.

ERRIS applies a staged error model to reduce errors in hydrological simulations and to quantify prediction uncertainty.