PAVLIŠKA, Lubomír, Jiří KNÍŽEK, Václav PROCHÁZKA, Pavel BOUCHAL, Bořivoj VOJTĚŠEK, Rudolf NENUTIL and Ladislav BERÁNEK. Gnostical “t-tests” - Promising Evaluation Method of Some Medicine and Biological Data. International Journal of Ecological Economics and Statistics. UTTARAKHAND: CENTRE ENVIRONMENT SOCIAL & ECONOMIC RESEARCH PUBL-CESER, vol. 37, No 1, p. 80-94. ISSN 0973-1385. 2016.
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Basic information
Original name Gnostical “t-tests” - Promising Evaluation Method of Some Medicine and Biological Data
Authors PAVLIŠKA, Lubomír (203 Czech Republic), Jiří KNÍŽEK (203 Czech Republic, guarantor), Václav PROCHÁZKA (203 Czech Republic), Pavel BOUCHAL (203 Czech Republic, belonging to the institution), Bořivoj VOJTĚŠEK (203 Czech Republic), Rudolf NENUTIL (203 Czech Republic) and Ladislav BERÁNEK (203 Czech Republic).
Edition International Journal of Ecological Economics and Statistics, UTTARAKHAND, CENTRE ENVIRONMENT SOCIAL & ECONOMIC RESEARCH PUBL-CESER, 2016, 0973-1385.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10103 Statistics and probability
Country of publisher India
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14310/16:00088793
Organization unit Faculty of Science
UT WoS 000399208100008
Keywords in English Gnostics; statistics; t-test; medicine; biology; decision making
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 18/4/2020 16:37.
Abstract
Our paper describes the use of the program gnostical "t-TESTS", or more exactly said, its first simple version. This program takes all advantages which the gnostical approach gives, i.e., testing for multiplicative or additive data, robust testing, testing without knowledge of data-distribution, testing in the case when extremely few data items are at our disposal and testing with maximized acquired information. This program includes both two-files tests and one-file tests. Appropriate decision making algorithms can be outstandingly efficient at data evaluation in biological and medicine research and to users can receive quite a new quality of data evaluation. Some demonstrations of real data from medical practice are shown.
Links
GA14-19250S, research and development projectName: Nový panel proteinů korelujících se stavem lymfatických uzlin u low-grade nádorů prsu: Klinická verifikace a úloha v invazivitě nádorových buněk
Investor: Czech Science Foundation
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