Publication details

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

Authors

KNÍŽEK Jiří PAVLIŠKA Lubomír PROCHÁZKA Václav VRTKOVÁ Adéla BERÁNEK Ladislav BOUCHAL Pavel VOJTĚŠEK Bořivoj NENUTIL Rudolf KUBA Martin

Type Article in Periodical
Magazine / Source International Journal of Mathematics and Computation™
MU Faculty or unit

Faculty of Science

Citation
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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