Sentence examples for mean forecast errors from inspiring English sources
Table 5 shows the mean forecast errors for both the categorical and continuous variable models.
Mean forecast errors relative to the mean observed health state value were higher when fitted to the categorical model (17.4%) compared to the continuous model (15.2%) (P < 0.05).
In a local-asymptotic parameterization of the probability of breaks, we provide analytical expressions for forecast biases and mean-square forecast errors.
More specifically, when using recursive estimation windows, which dominate other "windowing" approaches, "hybrid" models are mean square forecast error "best" around 1/3 of the time, when used to predict 11 key macroeconomic indicators at various forecast horizons.
49 For the purposes of forecasting, visualisations of forecasts compared to observations and forecast accuracy measures, such as the mean absolute forecast error, provide more direct and intuitive model selection criteria.
The results were verified using different model parameters by means of an algorithm incorporated in the programming software Grid Search, which was useful in observing the forecasts' mean square errors.
Also, Xiaolong (2004) derived and measured a forecasting procedure that minimizes the mean squared forecasting error for the specified demand process.
Finally, 1-year ahead forecast errors are large (overall mean of 9.06 %) compared to the 1-month ahead forecast errors (overall mean of −0.27 %).
Forecast errors were calculated by subtracting fitted values from actual health state values and dividing by the mean actual health state value to convert absolute forecast errors into relative forecast errors as a percentage of the actual sample mean health state value.
Traditional theoretical approaches of constructing PIs always require the assumption that forecast errors are normally distributed with zero mean.
The control parameter k is usually chosen to be one half of the mean shift that is important to detect, and the forecast errors e(d) are typically scaled to have unit variance.
