The following methods for statistical prediction are applied - an exponentially weighted moving average; - simple moving average; - linear exponential weighing; - Holt's linear exponential smoothing; and an additional slowing trend. The mean and the standard deviation of the forecast errors are calculated.
The functions, the results of their processing and the forecasts can be stored in a database of type Sqlit or in selected folder . Tables with this data can be exported for printing, for example, using the Sqlit browser or by Internet.
interpolate real functions(set of points (X, Y)) from a single variable
can be applied interpolation methods: Newton's, Aitken's, cubic Hermite's, cardinal spline
Catmul-Rom's spline, Kochanek-Bartls's spline, linear interpolation and nearest neighbor interpolation.
can be applied statistical predictions - exponentially weighted moving average; - simple moving average;
linear exponential weighing; - Holt's linear exponential smoothing; and an additional slowing trend.
results data can be exported and sending by Internet
create, delete and selection of a folder for storage data results