Entropy based statistical inference for methane emissions released from wetland

0438651 - ÚTIA 2016 RIV NL eng J - Journal Article
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
R&D Projects: GA ČR GA13-13502S; GA ČR(CZ) GAP504/11/1151; GA MŠMT(CZ) ED1.1.00/02.0073
Grant - others:GA ČR(CZ) GA201/12/0083; GA UK(CZ) SVV 2014-260105
Institutional support: RVO:67985556 ; RVO:67179843
Keywords : chaos * entropy * Kullback-Leibler divergence * Pareto distribution * saddlepoint approaximation * wetland ecosystem
Subject RIV: BB - Applied Statistics, Operational Research; EH - Ecology, Behaviour (UEK-B)
Impact factor: 2.217, year: 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.
Permanent Link: http://hdl.handle.net/11104/0242967