Modelling and forecasting of ionospheric parameters is very useful for different radio communication purposes.
Traditional design and upgrade concepts for wastewater treatment plants (WWTPs) are based on the forecasting of load parameters over a period of 25 40 years.
Although one method of dynamic forecasting of these parameters, based on the statistical regression model, was already suggested [1], nevertheless we shall further develop a new technique based on Sir R. Fisher's idea to use the gamma-distribution.
A method of dynamic forecasting of these parameters, based on the statistical regression model, was already suggested; nevertheless we shall further develop a new technique based on one idea to use the gamma-distribution.
Although one method of dynamic forecasting of these parameters, based on the statistical regression model, was already suggested [ 1], nevertheless we shall further develop a new technique based on Sir R. Fisher's idea to use the gamma-distribution.
Thus, the forecasting of the parameter of interest is performed as a regression problem.
While purely quantitative forecasts of logistics parameters and variables are easily available from a variety of sources, we found that studies using qualitative and strategic approaches in the building of future scenarios are mostly developed for sectors other than logistics and transportation (e.g., manufacturing).
While purely quantitative forecasts of logistics parameters and variables are easily available from a variety of sources, we found that studies using qualitative and strategic approaches building future scenarios are mostly developed for sectors other than logistics and transportation (e.g., manufacturing) [41].
Monitoring and forecasting of air quality parameters are popular and important topics of atmospheric and environmental research today due to the health impact caused by exposing to air pollutants existing in urban air.
Due to the health effects caused by airborne pollutants in urban areas, forecasting of air quality parameters is one of the most important topics of air quality research.
