KNÍŽEK, Jiří, Lubomír PAVLIŠKA, Václav PROCHÁZKA, Adéla VRTKOVÁ, Ladislav BERÁNEK, Pavel BOUCHAL, Bořivoj VOJTĚŠEK, Rudolf NENUTIL and Martin KUBA. Computation of Identification of a Gnostical Regression Model, Robust to Both Input and Output Disturbances with the Help of Parallel Computing–Basic Version. International Journal of Mathematics and Computation™. CESER, 2018, vol. 29, No 2, p. 29-58. ISSN 0974-5718.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name 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 (203 Czech Republic, guarantor), Lubomír PAVLIŠKA (203 Czech Republic), Václav PROCHÁZKA (203 Czech Republic), Adéla VRTKOVÁ (203 Czech Republic), Ladislav BERÁNEK (203 Czech Republic), Pavel BOUCHAL (203 Czech Republic, belonging to the institution), Bořivoj VOJTĚŠEK (203 Czech Republic), Rudolf NENUTIL (203 Czech Republic) and Martin KUBA (203 Czech Republic, belonging to the institution).
Edition International Journal of Mathematics and Computation™, CESER, 2018, 0974-5718.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10102 Applied mathematics
Country of publisher India
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14310/18:00101548
Organization unit Faculty of Science
Keywords in English Gnostics; statistics; environment; health; non-statistical methods; regression
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Pavel Bouchal, Ph.D., učo 8757. Changed: 12/3/2021 17:30.
Abstract
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.
Links
GA17-05957S, research and development projectName: Evaluace nových potenciálních cílů a inhibitorů pro blokování vývoje metastáz u luminálních A nádorů prsu
Investor: Czech Science Foundation
MUNI/A/1100/2017, interní kód MUName: Podpora biochemického výzkumu v roce 2018
Investor: Masaryk University, Category A
PrintDisplayed: 18/7/2024 12:27