Computation of Identification of a Gnostical Regression Model, Robust to Both Input and Output Disturbances with the Help of Parallel Computing–Basic Version

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Authors	KNÍŽEK Jiří PAVLIŠKA Lubomír PROCHÁZKA Václav VRTKOVÁ Adéla BERÁNEK Ladislav BOUCHAL Pavel VOJTĚŠEK Bořivoj NENUTIL Rudolf KUBA Martin
Year of publication	2018
Type	Article in Periodical
Magazine / Source	International Journal of Mathematics and Computation™
MU Faculty or unit	Faculty of Science
Citation
web	URL
Keywords	Gnostics; statistics; environment; health; non-statistical methods; regression
Description	Our paper describes a demonstration of Kovanic's physical concept of the robust evaluation of data uncertainty on some regression tasks, i.e. in a very practical way. Special techniques of computation during the solution of regression tasks are explained in detail here. Properties of particular tasks' solutions are demonstrated also by graphical figuration.
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