Sentence examples for predictions and estimates from inspiring English sources

This contrasts with traditional methods that check what the delivery team has done to improve the predictions and estimates.

According to EIA petroleum analyst John Staub: "From the information we've been able to gather, we've not seen evidence that oil extraction in this area is very productive using techniques like fracking... Our oil production estimates combined with a dearth of knowledge about geological differences among the oil fields led to erroneous predictions and estimates".

She gave various examples of climate change-related predictions and estimates that have been (sometimes grossly) underestimated.

Gemenne (2011) stresses that existing predictions and estimates of environmental migrants are highly controversial, as many lack sound documentation of underlying assumptions, uncertainties, and/or potential errors.

The fraction unbound is utilized to calculate important pharmacokinetic (PK) parameters such as unbound clearance and unbound volume of distribution in animals that can be used to make human PK and dose predictions and estimate clinically relevant drug drug interaction potential.

One of the main purposes of this work is to examine systematically the state-of-the-art of the machine-learning based dihedral angle predictions and estimate the potential usefulness in 3D structure predictions.

72 Physiologically based PK models are an example that have been used in this sense and have successfully been used to make human PK predictions and estimate doses.

Note that this numerical analysis is partially based on the bias-variance decomposition of the estimated model predictions and estimated parameters, thus it requires the knowledge of the nominal (true) parameter vector.

The quality of the model is R2 = 0.868, Q2 = 0.517 (Figure 2), where R2 is the goodness of fit value and is a measure of how well the model fits to raw data, and Q2 is goodness of prediction and estimates the predictive power of the model.

In this final Results section, we investigate the sensitivity of the accuracy of genomic prediction and estimates of Pr with emBayesR and BayesR to the underlying data model.

Although the study of Arps (1970) is completely empirical, its simplicity and the fact that it requires no knowledge of reservoir or well parameters make its use widespread in the upstream petroleum industry, particularly for production prediction and estimating reserves from production decline behavior.