Sentence examples for multiple forecasts in from inspiring English sources

Suggestions for future research directions include (1) examination of simple combining approaches to determine reasons for their robustness, (2) development of alternative uses of multiple forecasts in order to make better use of the information they contain, (3) use of combined forecasts as benchmarks for forecast evaluation, and (4) study of subjective combination procedures.

The co-ordinated nature of the Fifth CMIP (CMIP5 (ref. 23)) near-term ensemble prediction experiments allows, for the first time, obtaining robust estimates of the level of skill of state-of-the-art near-term climate prediction, while taking advantage of the increase in prediction reliability issued by multiple forecast systems in what is known as the multi-model approach4,24.

Numerous research studies in literature strongly recommend this approach, due to the fact that a combination of multiple forecasts almost always substantially reduces the overall forecasting errors as well as outperforms the component models.

This approach analyzes multiple forecasts created with an individual forecast model or multiple models.

Stochastic or "ensemble-based" forecasting is used to account for this uncertainty through the use of multiple forecasts created with an individual forecast model.

Multiple forecasting measures have been developed in literature, including least-square support vector machines (LS-SVM), neural network (NN), time-series based ARIMA model, etc.

Spread estimates give more precision when using multiple forecast systems24,38.

In-sample and out-of-sample forecasting tests are used to examine the performance of the parcel-scale econometric and simulation models, and the importance of multiple forecasting challenges is assessed.

However, the false alarm rate necessarily increases when multiple forecasting methods are used simultaneously.

You can modify the valuation multiple – or any other key forecasts – in our interactive dashboard to see the impact that any changes would have on Zoom's valuation.

Thus, the model may not be suitable for making multiple horizons forecasting or model out-of sample tests except in situations where bootstrapping methods are utilised.