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MAPE values for the forecasting model evaluation

An evaluation of simple forecasting model selection rules

An evaluation of simple forecasting model selection rules

... appropriate forecasting method for a large number of data series. Model selection aims to identify the best method of forecasting for an individual series within the data ...enhance ...

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An ARIMA model for forecasting Wi-Fi data network traffic values

An ARIMA model for forecasting Wi-Fi data network traffic values

... traffic values to be estimated based on ...traffic model was obtained as a research outcome which predicted traffic with relatively small mean square error values for an 18-day ...

5

The Application and Evaluation of the Global Weather Research and Forecasting Model

The Application and Evaluation of the Global Weather Research and Forecasting Model

... mean model and individual models occur in regions of sharp elevation changes, which the authors explain as a result of inconsistencies between the smoothed model and actual ...mean model for a ...

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Model evaluation for seasonal forecasting over southern Africa

Model evaluation for seasonal forecasting over southern Africa

... have been identified. Once the SOM map has been developed, each input data sample is assigned to a best-matching node in the map. This mapping of data points to the SOM nodes allows the calculation of frequencies of each ...

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Time Series Forecasting with Missing Values

Time Series Forecasting with Missing Values

... a model that forecasts multi-step ahead results directly while the iterative approach is to make multiple one-step predictions iteratively until it reaches the required ...

6

An Evaluation of the Exchange Rate Forecasting Performance of the New Keynesian Model

An Evaluation of the Exchange Rate Forecasting Performance of the New Keynesian Model

... Keynesian model of a small open economy over the period 1973Q3 through ...initial values of all other state variables are treated as parameters, and are calibrated to match functions of initial realizations ...

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An Evaluation of the Exchange Rate Forecasting Performance of the New Keynesian Model

An Evaluation of the Exchange Rate Forecasting Performance of the New Keynesian Model

... Keynesian model of a small open economy over the period 1973Q3 through ...initial values of all other state variables are treated as parameters, and are calibrated to match functions of initial realizations ...

29

1-MAPE ), ranges from 70% to 80% at the

1-MAPE ), ranges from 70% to 80% at the

... Among these product families, about 5500 options were offered to the customer, with a range of less than a hundred to more than a thousand per product family. The end products, configured with these options were about ...

7

Volatility forecasting with range models: An evaluation of new alternatives to the CARR model

Volatility forecasting with range models: An evaluation of new alternatives to the CARR model

... Thirdly, the classical estimator of volatility is based on the close to close prices but it has been demonstrated that the daily squared return is an unbiased estimator of the realized daily volatility, however, Andersen ...

25

An Experimental Forecasting Model

An Experimental Forecasting Model

... Experimental Forecasting Model now have two sets of values for each of the ...experimental model was more ...every model with an equivalent amount of forecast value; the question was by ...

6

Evaluation of forecasting methods for intermittent parts demand in the eld of aviation: a predictive model

Evaluation of forecasting methods for intermittent parts demand in the eld of aviation: a predictive model

... in forecasting and are still looking for superior forecasting ...13 forecasting meth- ods, including those used by aviation companies, are examined and clari%ed through statistical ...linear ...

18

The Global Weather Research and Forecasting (GWRF) Model: Model Evaluation, Sensitivity Study, and Future Year Simulation

The Global Weather Research and Forecasting (GWRF) Model: Model Evaluation, Sensitivity Study, and Future Year Simulation

... The model simulation at a coarser resolu- tion leads to a much worse overprediction of T2 over the North America and a much less overprediction over the North Ferrel cell in ...chemistry model and the re- ...

23

Food Values: Policy Evaluation

Food Values: Policy Evaluation

... Doughnut model, shown below, links and connects policy spaces that are often ...the model, with its large impact upon climate change, land use, water consumption, health, and community connectivity, again ...
New tourism product forecasting application of Bass Diffusion Model and Grey Forecasting Model

New tourism product forecasting application of Bass Diffusion Model and Grey Forecasting Model

... of MAPE for forecasting using both models are given in Table 3 and Table 4 for Tanah Aina and Tanah Aina Farrah Soraya, ...Fahad, MAPE shows a noticeable high value of MAPE for BDM compared to ...

7

Construction industry forecasting model

Construction industry forecasting model

... industry forecasting model The model was tested in ...the forecasting it is necessary to have initial ...the values presented in Table ...appropriate forecasting methods ...

10

A Model for Forecasting Swedish Inflation

A Model for Forecasting Swedish Inflation

... forecast evaluation leads to a rather positive assessment of our empirical ...the MAPE turn out to be small ...the MAPE turns out to be small, and thus ...

39

Monash Electricity. Forecasting Model

Monash Electricity. Forecasting Model

... best model should be used for forecasting regardless of its interpretive ...future values of the variables that have the same degree of collinearity as has occurred in the past (Myers, 2000, ...

40

The Extent of Volatility Predictability Evaluation of forecasting accuracy dependent on time, distribution and model order

The Extent of Volatility Predictability Evaluation of forecasting accuracy dependent on time, distribution and model order

... The specifications for the conditional variance, given in Table 5, contain parameters for the auto regressive and moving average, denoted by 𝑝 and 𝑞. We have included six combinations of ARMA lengths. For the normally ...

58

Cloud Microphysical Properties based on Airborne In Situ Observations and Evaluation of a Weather Forecasting Model and a Global Climate Model

Cloud Microphysical Properties based on Airborne In Situ Observations and Evaluation of a Weather Forecasting Model and a Global Climate Model

... Iowa. The GV took observations on this day over Oklahoma, where a squall line associated with the high winds and large hail occurred. The event was marked by elevated instability and widespread values of ...

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Improvement of flood forecasting simulations with the Telemark Flood Forecasting Model

Improvement of flood forecasting simulations with the Telemark Flood Forecasting Model

... the model is basically done to determine a set of free parameters that gives the best possible correspondence between observed and simulated runoff for a ...the model. It was also seen that where runoff was ...

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