Sentence examples for using robust statistical methods from inspiring English sources

In future monitoring studies, these hydrologic effects need to be characterized using appropriate flow metrics at a range of scales (from site scale to catchment scale), and changes to flow metrics by SCMs need to be assessed using robust statistical methods.

Study personnel performed spot checks prospectively, accuracy was confirmed [ 16], and data were analyzed using robust statistical methods.

However, even when developed using robust statistical methods in large, representative data sources, risk prediction models require validation before they can be used with confidence [ 4].

The strength of our study is that we investigate a case where improvements were previously demonstrated using robust statistical methods [ 11], and that we discuss our findings in relation to an established theoretical framework.

The present analysis explored the factors associated with patient enablement in general practice consultations in deprived and affluent areas, using robust statistical methods to control for multi-level interactions (cluster effects).

METHODS:We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013.

To take advantage of this inherent robustness of the assay we use robust statistical methods that automatically select the most reliable measurements for each SNP to make the genotype call, sample by sample [ 18].

We aggregated 15-min interval NOx-N and discharge data over a nine-year period into daily averages and then used robust statistical methods to identify how the discharge regime within an artificially-drained agricultural watershed reflected catchment hydrology and NOx-N delivery pathways.

DA is a widely used robust statistical method for discriminating variables among a priori defined groups.

These methods either adopt a more sophisticated reflectance model to accommodate non-Lambertian observations as "inliers" (e.g. [5 7]) or rather keep the Lambertian model but use robust statistical methods to rule out or reduce the effect of non-Lambertian outliers (e.g. [8 10]).

Furthermore, we used robust statistical techniques to assess changes.