Sentence examples for estimates for decision from inspiring English sources

These elements are precisely the domain of decision support specialists (investigative advisers), and the Bayesian paradigm is uniquely apt for combining them into contextualized estimates for decision support.

Due in part to its recent genesis as a scientific field of study, there are a multitude of quantitative approaches used by BIA professionals to arrive at estimates for decision support.

This report outlines the way in which the emerging evidence and data about the unrest, which were uncertain and time-varying, could be interrogated to provide provisional eruption probability estimates for decision support.

Cost ratios in pre-MDA settings were greater than one, indicating that the costs associated with using prevalence estimates for decision-making were marginally higher than using a TAS decision rule.

The next step will be to apply the EPIA modelling approach to severe outcomes indicators (i.e. hospitalisations and mortality data) to generate a complete range of mild and severe influenza burden estimates needed for decision making concerning paediatric influenza vaccination.

We then applied the risk equations in the study in two ways; as variable estimates for the decision analytical model (in determining transition probabilities), and to define the prioritisation strategies (that includes biomarker information) used to rank patients.

The minimum variance criterion, which has often been used in traditional kriging techniques, does not always guarantee optimal estimates for the decision-making process in geotechnical engineering.

Understanding the impact of different MN assay protocols would strengthen these estimates for policy decisions.

It is a challenge to determine how, when and by whom climate predictions should be translated into risk estimates usable for decision-making.

Formal decision models suggest that the determination of an action's overall value rests on the integration of both the costs and benefits of a decision, thus generating a single value estimate for each decision alternative (Montague & Berns, 2002; Rangel & Hare, 2010).

The smoothing and threshold pruning are used in a TCSDT algorithm before calculating the class probability estimate for each decision tree leaf.