Sentence examples for appropriate for forecasting from inspiring English sources

The latter estimates are based on the recent 10-yr observed data, which may not be stationary and therefore may not be appropriate for forecasting.

Therefore, the model analyzed here is not appropriate for forecasting the effects of management decisions on one particular cod stock, but instead is meant to demonstrate expected trends and patterns for stocks and species with life histories similar to those investigated in this study.

Accordingly, in a recent comparison of the models' forecasting accuracy, the multivariate seasonal ARIMA model (SARIMA), an expanded form of ARIMA, was shown to be the most appropriate for forecasting the number of patients admitted to the emergency department per day, as it was built to incorporate explanatory variables affecting that number [ 20].

In addition, these models are suitable for forecasting stationary or trend time series, but they are not appropriate for forecasting seasonal time series.

We found that hybrid models (i.e., one model such as the Duong model for transient flow coupled with a different model, such as the Arps hyperbolic model with an appropriate value of the parameter "b") are appropriate for forecasting oil production and that it is possible to forecast solution gas production with availability of adequate data.

The results of the validation analyses show that the parsimonious model SARIMA (1,0,0)(1,0,1)12 was an appropriate model for forecasting the epidemics of BFV disease in Gladstone region because the RMS error was small (1.2; RMS percentage error = 0.73%).

According to the analysis results, a modeling data length of 70 is most appropriate for turbidity forecasting.

The use of (t=5) min is reasonable and appropriate for near-field forecasting, e.g., in the Kanto region, because a real-time forecast is needed for evacuation purposes before the first arrival of a tsunami at the coast.

Due to its high predictive utility, the two-phase ICEEMDAN-PSO-SVR hybrid model was particularly appropriate for whole week forecasts (ENS= 0.95, MAPE= 0.89%, RRMSE= 1.22%, and ELM= 0.79), and monthly forecasts (ENS= 0.70, MAPE= 2.18%, RRMSE= 3.18%, and ELM= 0.56).

Matters discussed included how and what information should be provided, the conditions under which VAFFs should be issued, and appropriate forecasts for affected communities for various quantities of ash fall.

Our results show that the proposed time series approach is appropriate for very short-term forecasting of hourly solar radiation, temperature, and wind speed.