Sentence examples for correct uncertainty from inspiring English sources

This paper presents a novel methodology for implementing a Virtual CMM model capable of correct uncertainty determination for measurements performed in less stable, industrial conditions.

In this paper, we develop models of spatial associations between myocardial infarctions (MIs) and ambient ozone levels in Florida during August 2005 and use these models to illustrate the problems that can occur when making inferences from aggregated data, the concept of spatial support, and the importance of correct uncertainty assessment.

3D Lagrangian Particle Tracking is used here; hence a feedback schema has been designed, it applies multi-view information to correct uncertainties in particle positioning.

In the second round they were presented with the joint prioritisation from round one and focused mainly on identifying whether the correct uncertainties were in the top 10, and had the right prioritisation.

The premise of Rasa Core is similar to the approach of a lot of AI startups that use services like Amazon Mechanical Turk to correct for uncertainty faced by machine learning models.

To correct for uncertainty in the multiple alignment, we discarded blocks whose synteny was inconsistent with local orthologous genes.

The results were based on a general linear model that was bootstrapped 1,000 times to correct for uncertainty.

An extension of the TDI analysis for wider beam DBS radars to correct for uncertainties in the actual beam direction, called HDI, was applied by Holdsworth and Reid (2004a) at MF and by Reid et al. (2005) at VHF.

Standard error in regression coefficients have been corrected for uncertainty in model covariance and bias by exerting denominator degrees of freedom according to Kenward and Roger.

In contrast, our approach takes account of longitudinal correlations, in accordance with previously published methods, 3 which is a prerequisite to the correct characterisation of uncertainty in the estimation of drug effects.

Advantages of the Bayesian evidence synthesis approach adopted here include provision of a coherent, flexible framework in which diverse sources of information can be combined and the correct propagation of uncertainty associated with all model parameters to the final estimates.