Detailed Information on Publication Record
2016
Gnostical “t-tests” - Promising Evaluation Method of Some Medicine and Biological Data
PAVLIŠKA, Lubomír, Jiří KNÍŽEK, Václav PROCHÁZKA, Pavel BOUCHAL, Bořivoj VOJTĚŠEK et. al.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
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10103 Statistics and probability
Country of publisher
India
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
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
International impact, Reviewed
Změněno: 18/4/2020 16:37, Mgr. Marie Šípková, DiS.
Abstract
V originále
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 project |
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