Sentence examples for for better forecasting from inspiring English sources
As a result, demand for better forecasting is soaring.
Furthermore, an attempt is made to determine the amount of past data needed for better forecasting the active periods.
The available rainfall runoff data has been classified in frequent and rare events and suitable TSC-T S fuzzy model sTSC-T Ses have been suggested fuzzyetter forecasting of river flows.
It could be that they share a magma system, or that pressure from Mauna Loa affects Kilauea.In this section All hot and bothered Chicken run The life in an ocean wave Think before you talk Reprints Related items Volcanoes: Now, listen carefullyAug 12th 1999 The rumbling CaribbeanJul 3rd 1997Unsurprisingly, there is great demand for better forecasting methods.
The Local Government Association, responding to the new figures, called for better forecasting methods for future demand, to identify where the big increases are likely over five and 10 years.
The both types have their own pros and cons, accordingly, this research proposed a hybrid model to come out with better results and to cover limitations of each category for better forecasting accuracy (Nodehi et al. 2014).
My thesis on which agreement may be less general is this: the way to solve this problem is not to look for better forecasts by perfecting techniques or hiring more or better forecasters.
For better forecasts, the scores of LL and MLL are larger, while the BS score is smaller.
The paper concludes that the performance gap can only be bridged by a broad, coordinated approach that combines model validation and verification, improved data collection for predictions, better forecasting, and change of industry practice.
Although it becomes unstable to obtain the estimates of the 6 location-dependent parameters mainly because of the strong correlation between the parameters α and γ, this could be a challenging task for a better forecasting.
Today many new products exhibit very strong seasonal behaviour, which may deserve specific modelling, both for producing better forecasts in the short term and for better explaining special market dynamics and related managerial decisions.
