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Additionally, many studies have suggested that the MetS as currently defined may not be appropriate to forecast cardiovascular disease and type-2 diabetes risk in Africans.
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The experimental results obtained using the Synthetic Control Chart Time Series and aluminum price datasets show that the proposed method can significantly improve forecasting accuracy, and thus is considered an appropriate procedure to forecast manufacturing outputs based on small samples.
It can be exploited to forecast appropriate behaviors of the wanted identified financial time series data.
Since electricity cannot be stored so the produced electricity must immediately be consumed, this implies that an appropriate model is needed to forecast future electricity demand by Valor [6].
In either case our study aimed at identifying an appropriate subset of variables to forecast patterns in polychaete assemblages in relation to ongoing or predicted changes in environmental conditions.
Almost none of the documents described the process and trade-offs made to select the appropriate options and strategies or to forecast the health outcomes expected from the developmental efforts.
Such models are appropriate when abundant epidemiological data are available to forecast the natural history of disease incidence and progression, as is the case with type 2 diabetes.
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 main steps of the proposed iterative method to forecast the demand are: 1. Define the appropriate demand-state function of Eq. (6). 2.
In [18], comparisons between the two approaches have been made to forecast electrical energy consumption wherein authors conclude that ANFIS is more appropriate than ARIMA.
This question must be addressed, to make it possible to forecast the impact of these changes on the evolution of populations and to develop appropriate management, breeding, and conservation programs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com