Sentence examples for statistical post from inspiring English sources

Two high resolution regional atmospheric systems are employed in order to provide accurate local wind forecasts while a combination of statistical post processes is utilized targeting to the local adaptation of the results and the reduction of possible systematic biases.

Statistical Post Editing and Dictionary Extraction: Systran/Edinburgh submissions for ACL-WMT2009, Loïc Dugast, Jean Senellart and Philipp Koehn, EACL Workshop on Statistical Machine Translation 2009, pdf.

We used data from several low-dose studies performed by Sharpe et al. (1995, 1998) and Ashby et al. (1997, 2004) for statistical post hoc power analyses.

They differ in the degree to which they make use of statistical post-processing techniques.

Ensemble Streamflow Prediction (ESP) provides the means for statistical post-processing of forecasts and estimating the inherent uncertainties.

The results of various hydrological indicators show that most of the uncertainty arises from the natural climate variability followed by the statistical post-processing.

EQUIP is not a modelling system, but a statistical post-processor, which uses results from a compressed database of pre-run model scenarios.

The purpose of this work is establishing a methodology to produce solar irradiation forecasts for the Brazilian Northeastern region by using Weather Research and Forecasting Model WRFF) combined with a statistical post-processing method.

Both issues require application of two main steps: deterministic calculations of hydro-structure interactions for given operating conditions on one side and the statistical post-processing in order to take into account the lifetime operational profile, on the other side.

This study aims to evaluate, once model bias has been removed by statistical post-processing (SP), how the RCM-simulated climate changes differ from those of the parent GCMs, and how they affect the assessment of climate change-induced hydrological impacts at the catchment scale.

Two statistical post-processing approaches for estimation of predictive hydrological uncertainty are compared: (i) 'dressing' of a deterministic forecast by adding a single, combined estimate of both hydrological and meteorological uncertainty and (ii) 'dressing' of an ensemble streamflow forecast by adding an estimate of hydrological uncertainty to each individual streamflow ensemble member.