Sentence examples for points forecasting from inspiring English sources

The FiveThirtyEight forecast model, which heavily weights the most recent polling and a candidate's momentum, now projects Mr. Gingrich to win South Carolina by just under 10 points, forecasting him to get 38.7 percent of the vote to Mr. Romney's 29.3 percent.

One specific advantage of the method is that when ensemble mean value is considered as a forecast, the peak flows are predicted with improved accuracy by this method compared to traditional single point forecasted ANNs.

We explore classical point forecast accuracy measures, explain why measures such as MAD, MASE and wMAPE are inherently unsuitable for count data, and use the randomized Probability Integral Transform (PIT) and proper scoring rules to compare the performances of multiple causal and noncausal forecasting models on two datasets of daily retail sales.

Is one of the point forecasts OK?

Subsequently, for each country we asked three specific questions: Is one of the point forecasts OK?

These constants were added to/subtracted from the point forecasts obtained previously, to obtain the upper and lower limit of the 80% prediction intervals.

Point forecasts for fertility rates by age of the mother, mortality rates by age and sex, and numbers of net migration by age and sex were obtained as follows.

It consists of four major blocks: point forecasting, pre-filtering, quantile regression modeling and post-processing.

Literature on probabilistic load forecasting are relatively limited compare to traditional point forecasting.

Among all literature introducing load forecasting techniques, most of them focus on point forecasting by generating fixed forecasting point at a specific moment in the future.

In this approach, an advanced point forecasting method is originally proposed based on wavelet transform and convolutional neural network.