Sentence examples for more precise means from inspiring English sources

It provides a more precise means of evaluating responses to constraints (nonfunctional requirements) concerning the IS, notably by estimating hardware and network sizing needs or by setting up server or storage redundancy.

This consistency does highlight the utility of satellite imagery and LiDAR as an alternative more precise means of predicting the 300 Index.

Prospective studies of this well-characterized population and associated tissue bank samples offer a unique opportunity to better understand the cause and natural history of NAFLD and develop more precise means for noninvasive diagnosis.

While exploratory, results such as these might be part of future risk prediction models across diagnoses - including characteristics not collected in a clinical trial setting, potential biomarkers, and genetic markers - that might lead to a more precise means of picking treatments and predicting response for our patients.

Results show that if age is not available, then the combination of data derived from satellite imagery and environmental variables provides a more precise means of estimating the 300 Index (R 2 = 0.65 and RMSE = 3.21 m3 ha−1 year−1 for the non-parametric model).

Because invoked attitude figures so prominently in the analysis of textual identity, the paper proposes an amended version of what has been proposed by Martin and White (2005: 67) in the form of a set of overlapping 'categories' designed to fill gaps in the interpretive paradigm, and to call for a more precise means of tracking and identifying how attitude is invoked in texts.

As time progresses, confidence intervals typically decrease in size, implying a more precise mean estimate.

If a larger number of nodes exist, multiple position estimates can be averaged to yield a more precise mean position.

The new formula produced estimates of GFR which were less biased (Mean Prediction Error = –3%) and more precise (Mean Absolute Prediction Error = 12%) than Cockcroft and Gault (–8% and 16%) or Jelliffe (–15% and 19%) estimates.

These assumptions are initially approximated, but become gradually more precise by means of counter examples obtained by model checking the system components and the environment.

They want to start over and, as they argue, use more precise, targeted means to punish the Saudi regime.