Sentence examples for error skill from inspiring English sources

The Pearson correlation coefficient (R), mean squared error skill score (MSESS), and Bias were used to evaluate the skill of downscaled deterministic forecasts.

It has evolved over the centuries from the trial and error skills of the hunter-gatherer in finding "safe" food to the applied art of poisoning enemies to a highly sophisticated science of mechanisms that is built upon numerous biomedical disciplines, including molecular genetics and molecular biology.

Then, we can classify unsafe acts into specific error types (decision errors, skill-based errors, and perceptual errors) and violation types (routine violations and exceptional violations).

Ensemble verification is necessary to quantify these errors, and to better understand the sources of predictive error and skill in particular modeling situations.

The practice of evaluating interaction with devices is embedded in disciplines such as human computer interaction and cognitive ergonomics, including concepts such as affordances, error analysis, skill, rule and knowledge based behaviour and decision making biases.

Measurement error numeracy skills are instrumented by literacy skills.

A significant proportion of errors suggest skill and knowledge deficiencies, with errors and severity reducing as clinical experience increases.

I will also cluster the standard errors by skill cells to adjust for the possible serial correlation that may exist within cells.

In contrast to prioritisation errors, procedural skills were strikingly vulnerable to slips and lapses.

The results showed that the EC forecasts provided the least error and highest skill and reliability, followed by the MO and NCEP forecasts.

In difficult test examples, which introduce chaotically and stochastically evolving hidden parameters into the Lorenz-96 model, we show that our approach can effectively compensate for model error, with forecasting skill comparable to that of the perfect model.