Entropy based statistical inference for methane emissions released from wetland

0438651 - ÚTIA 2016 RIV NL eng J - Článek v odborném periodiku
Sabolová, R. - Sečkárová, Vladimíra - Dušek, Jiří - Stehlík, M.
Entropy based statistical inference for methane emissions released from wetland.
Chemometrics and Intelligent Laboratory Systems. Roč. 141, č. 1 (2015), s. 125-133. ISSN 0169-7439. E-ISSN 1873-3239
Grant CEP: GA ČR GA13-13502S; GA ČR(CZ) GAP504/11/1151; GA MŠMT(CZ) ED1.1.00/02.0073
Grant ostatní: GA ČR(CZ) GA201/12/0083; GA UK(CZ) SVV 2014-260105
Institucionální podpora: RVO:67985556 ; RVO:67179843
Klíčová slova: chaos * entropy * Kullback-Leibler divergence * Pareto distribution * saddlepoint approaximation * wetland ecosystem
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum; EH - Ekologie - společenstva (UEK-B)
Impakt faktor: 2.217, rok: 2015
http://library.utia.cas.cz/separaty/2014/AS/seckarova-0438651.pdf

We concentrate on paradigm question how much stochasticity and how much chaos is present in the methane emission model. In particular we analyze the residua from the process of methane emissions from wetlands in the sedge-grass marsh, in South Bohemia, Czech Republic. Relation to entropy and a specific version of Kullback-Leibler divergence will be given. Graphical tool to assess the amount of entropy in the system is developed and illustrated on real data from the sedge-grass marsh methane emission.
Trvalý link: http://hdl.handle.net/11104/0242967