J 2017

Computation of Kovanic's Expectedness Distributions with the Help of Parallel Computing - Basic Version (with Special References of Health and Environment)

KNÍŽEK, Jiří, Ladislav BERÁNEK, Pavel BOUCHAL, Bořivoj VOJTĚŠEK, Rudolf NENUTIL et. al.

Basic information

Original name

Computation of Kovanic's Expectedness Distributions with the Help of Parallel Computing - Basic Version (with Special References of Health and Environment)

Authors

KNÍŽEK, Jiří (203 Czech Republic, guarantor), Ladislav BERÁNEK (203 Czech Republic), Pavel BOUCHAL (203 Czech Republic, belonging to the institution), Bořivoj VOJTĚŠEK (203 Czech Republic), Rudolf NENUTIL (203 Czech Republic), Martin KUBA (203 Czech Republic, belonging to the institution), Lubomír PAVLIŠKA (203 Czech Republic) and Václav PROCHÁZKA (203 Czech Republic)

Edition

INTERNATIONAL JOURNAL OF ECOLOGICAL ECONOMICS & STATISTICS, UTTARAKHAND, CENTRE ENVIRONMENT SOCIAL & ECONOMIC RESEARCH PUBL-CESER, 2017, 0973-1385

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10102 Applied mathematics

Country of publisher

India

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

RIV identification code

RIV/00216224:14310/17:00095617

Organization unit

Faculty of Science

UT WoS

000399215500008

Keywords in English

Gnostics; Construction of algoritms; Environment; Health; Decision making

Tags

International impact, Reviewed
Změněno: 12/3/2021 17:23, doc. Mgr. Pavel Bouchal, Ph.D.

Abstract

V originále

Our paper describes the algorithmic construction of Kovanics basic expectedness distribution formulas and the technique of computation of the gnostical scale parameter with the help of the Matlab parallel computing toolbox. Properties of distributions (and their derivatives) are demonstrated also by graphical figuration. Some references on applications on data from health and environment are introduced.

Links

GA14-19250S, research and development project
Name: 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