Sentence examples for uncertainty to identify from inspiring English sources

This was followed by regression analysis, allowing for phase uncertainty, to identify the particular haplotype(s) that influences disease risk.

The top 26 uncertainties were chosen because the experience of the JLA 12 is that this is a sufficient number of uncertainties to identify the top 10, and in order to be able to label them A Z.

We propose the use of an uncertainty typology to identify and characterize uncertainties.

In this study, a Bayesian-based, Differential Evolution Markov Chain method was used to assess the uncertainty and to identify factors controlling the uncertainties of the multi-rate SCR model.

This chapter covers the main topic of the uncertainty analysis to identify and quantify the different sources of uncertainties that are present, and to decide how to consider them in the subsequent reliability analysis.

This chapter covers the main topic of the uncertainty analysis to identify and quantify the different sources of uncertainties that are present, and to decide how to take them into account in the subsequent reliability analysis.

However uncertainty remains to identify whether GIP act directly on osteoclasts.

Firstly performing a sensitivity and uncertainty analyses to identify the most important parameters in the mathematical model, followed, by the design of optimal controlled experiments that can provide quality data close to the best performance identified scenario.

This method was applied to a number of model designs to assess the tradeoff between model complexity, accuracy and predictive uncertainty, and to identify the most appropriate model design under specific climatic conditions.

Ensemble analysis of the ANN and SVM predictions of live sawgrass biomass not only made the estimation more reliable, but also generated an uncertainty map to identify the regions with a robust biomass prediction, as well as challenging areas for biomass quantification.

As a result, we conducted sensitivity and uncertainty analyses to identify which model parameters have the greatest influence on exposure and to show why biomonitoring alone cannot easily be used to identify individual sources of exposure in the general population.