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The forecasting threshold of the EMR intensity of the longwall face was 22.5 mV.
The three types of forecasting improvements are (i) uniform forecasting improvements when there is not a ramp, (ii) ramp forecasting magnitude improvements, and (iii) ramp forecasting threshold changes.
As shown in this figure, 10 days before the rockburst, the EMR intensity monitored on the two points was significantly abnormal, in specific, the EMR intensity was higher and exceeded or approached to the forecasting threshold.
Sensitivity analysis results show that (i) all proposed metrics are suitable to show the changes in the accuracy of solar forecasts with uniform forecasting improvements, and (ii) the metrics of skewness, kurtosis, and Rényi entropy are specifically suitable to show the changes in the accuracy of solar forecasts with ramp forecasting improvements and a ramp forecasting threshold.
On the day before the rockburst, the EMR intensity suddenly rose to an abnormally high value (the EMR intensities on point A and B both exceeds 50 mV, which is significantly higher than the forecasting threshold) and then the rockburst happened.
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The issue of how to create a dynamic data-dependent forecast model of a threshold forecast system, whose threshold changes according to the change of planting environment has been solved.
The interviews followed a semistructured guideline (Witzel 2000), with a focus on key topics of interest like strategies and measures of dealing with routine and severe weather situations, weather communication tools and content, dealing with uncertainty in weather forecasts, decision thresholds, and lead times.
First, the retailer's incentive for the supplier's forecasting is a threshold policy: If the forecasting cost is low, then the retailer will prefer the supplier to forecast, otherwise, the retailer will prefer the supplier not to forecast.
The forecast says this threshold is now expected to be met in the first half of this year, two years earlier than first expected.
In this article, a model of a weed control threshold forecast system has been established, with related model solving, data checking, database setting up, and system engineering illustration.
It is possible that subjects on OT were better able to forecast the rejection threshold and thus earned as much or more money than placebo participants, rendering generosity costless.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com