| project |
| ARLID |
cav_un_auth*0292725 |
| project_id |
GA13-13502S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0313120 |
| project_id |
GA201/12/0083 |
| agency |
GA ČR |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0273119 |
| project_id |
GAP504/11/1151 |
| agency |
GA ČR |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0306400 |
| project_id |
SVV 2014-260105 |
| agency |
GA UK |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0270848 |
| project_id |
ED1.1.00/02.0073 |
| agency |
GA MŠk |
| country |
CZ |
|
| abstract
(eng) |
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. |
| RIV |
BB |
| reportyear |
2016 |
| num_of_auth |
4 |
| mrcbC52 |
4 A hod 4ah 4a 20231122140741.8 |
| mrcbC55 |
UEK-B EH |
| inst_support |
RVO:67985556 |
| inst_support |
RVO:67179843 |
| permalink |
http://hdl.handle.net/11104/0242967 |
| cooperation |
| ARLID |
cav_un_auth*0312311 |
| name |
The Open University |
| country |
GB |
|
| cooperation |
| ARLID |
cav_un_auth*0298931 |
| name |
Johannes Kepler Universität |
| country |
AT |
|
| cooperation |
| ARLID |
cav_un_auth*0312312 |
| name |
Universidad Técnica Federico Santa María |
| country |
CL |
|
| cooperation |
| ARLID |
cav_un_auth*0295067 |
| name |
Univerzita Karlova |
| institution |
UK |
| country |
CZ |
|
| mrcbC64 |
1 Department of Adaptive Systems UTIA-B 10511 ENVIRONMENTAL SCIENCES |
| confidential |
S |
| mrcbC83 |
RIV/67179843:_____/15:00438651!RIV16-AV0-67179843 191575670 neshodny pocet stran UEK-B |
| mrcbC83 |
RIV/67985556:_____/15:00438651!RIV16-AV0-67985556 191683181 neshodny pocet stran UTIA-B |
| mrcbC83 |
RIV/67179843:_____/15:00438651!RIV16-GA0-67179843 191788653 neshodny pocet stran UEK-B |
| mrcbC83 |
RIV/67985556:_____/15:00438651!RIV16-GA0-67985556 191719014 neshodny pocet stran UTIA-B |
| mrcbC83 |
RIV/67179843:_____/15:00438651!RIV16-MSM-67179843 191653605 neshodny pocet stran UEK-B |
| mrcbT16-e |
AUTOMATIONCONTROLSYSTEMS|COMPUTERSCIENCEARTIFICIALINTELLIGENCE|CHEMISTRYANALYTICAL|INSTRUMENTSINSTRUMENTATION|MATHEMATICSINTERDISCIPLINARYAPPLICATIONS|STATISTICSPROBABILITY |
| mrcbT16-j |
0.657 |
| mrcbT16-s |
0.665 |
| mrcbT16-4 |
Q2 |
| mrcbT16-B |
53.67 |
| mrcbT16-C |
77.784 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q3 |
| arlyear |
2015 |
| mrcbTft |
\nSoubory v repozitáři: seckarova-0438651.pdf, Entropy based statistical inference for methane emissions released from wetland..pdf |
| mrcbU14 |
84921535474 SCOPUS |
| mrcbU34 |
000350096200013 WOS |
| mrcbU63 |
cav_un_epca*0256394 Chemometrics and Intelligent Laboratory Systems 0169-7439 1873-3239 Roč. 141 č. 1 2015 125 133 Elsevier |