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Baginski, S. P. — Hassel, J. M. (1997): Determinants of Management Forecast Precision. The Accounting Review , 72(2): 303–312. Hassel J. M
Artis, M. — Zhang, W. (1990): BVAR Forecasting for the G-7. International Journal of Forecasting , 6: 349–362. Zhang W. BVAR Forecasting for
. Andersson , P. – Edman , J. – Ekman , M. ( 2005 ): Predicting the World Cup 2002: Performance and Confidence of Experts and non-Experts . International Journal of Forecasting 21 ( 3 ): 565 – 576
. [4] Moretti F. , Pizzuti S. , Panzieri S.q , Annunziato M. Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid
forecasting of future research and publication trends as well (for mathematics see, e. g., Behrens and Luksch 2011 ). These future trends are estimated mathematically from trends in past publication activities. For the following bibliometric
1 Introduction Stochastic forecasting of mortality reached its golden age in recent decades. The revolution of IT infrastructure—together with increasing quantity and quality of relevant databases—has provided exceptional potential to improving
. This problem is particularly significant for solar and wind energy. The integration of solar and wind farms poses control problems. The efficiency and success of the control are greatly facilitated by the forecasting and mathematical
estimation cost for better acquisition of the project proposed within the period. This cost estimation becomes an important rule to satisfy the requirements of clients [ 4 ]. Hence to benefit-cost estimators, CCI forecasting becomes a vital thing to predict
The GPS-derived TEC has proved to be a robust characteristic representing well the state of the Earth's ionosphere-plasmasphere system during both quiet and disturbed geomagnetic conditions. Successfully forecasting the TEC value can prove invaluable when trying to improve the communications, navigation, and surveying practices. Presented is a new forecasting method based on auto-correlation analysis and consisting of two major parts - first, extrapolation of the TEC monthly medians using Fourier series approximation, and second, geomagnetically-correlated forecast of the TEC relative deviations of from its median value. Preliminary tests show a good agreement between measured and predicted median values. Presented are also important investigations related to the short-term forecast.
In our study we have proven that Bass model depicting the market spread of different products is suitable also for the study and forecast of mineral water consumption. Years in the near future can be predicted trustworthily. Nevertheless, calculation of the optimal parameters is expedient to be executed after every year of consumption data. Our data are belonging from the years of exponent consumption growth (1979–2007), that is to say, from the time before saturation of market, thus one can apply both Bass model and exponent model. We made forecasts for the current forthcoming years by the Bass model.
