Computation of Identification of a Gnostical Regression Model, Robust to Both Input and Output Disturbances with the Help of Parallel Computing–Basic Version
| Authors | |
|---|---|
| Year of publication | 2018 |
| Type | Article in Periodical |
| Magazine / Source | International Journal of Mathematics and Computation™ |
| MU Faculty or unit | |
| 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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