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Modeling methane emission via the infinite moving average process
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SYSNO ASEP 0391341 Document Type J - Journal Article R&D Document Type The record was not marked in the RIV Subsidiary J Článek ve WOS Title Modeling methane emission via the infinite moving average process Author(s) Jordanova, D. (BG)
Dušek, Jiří (UEK-B) RID, SAI
Stehlík, M. (AT)Source Title Chemometrics and Intelligent Laboratory Systems. - : Elsevier - ISSN 0169-7439
Roč. 122, - (2013), s. 40-49Number of pages 11 s. Language eng - English Country NL - Netherlands Keywords Environmental chemistry ; Pareto tails ; t-Hill estimator ; Weak consistency ; Moving average process ; Methane emission model Subject RIV EH - Ecology, Behaviour R&D Projects ED1.1.00/02.0073 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GAP504/11/1151 GA ČR - Czech Science Foundation (CSF) Institutional support RVO:67179843 - RVO:67179843 UT WOS 000316428400005 EID SCOPUS 84873553471 DOI 10.1016/j.chemolab.2012.12.006 Annotation The aim of this paper is to provide guidelines for the statistically efficient estimation of the methane emission in the sedge-grass marsh, South Bohemia, Czech Republic. Such a study is important for a better understanding of the rate and dynamics of methane emissions from wetland ecosystems, and in particular to build a model of local methane flux. We have modeled a time series of the data via an infinite moving average process with Pareto tails of the exceedances. To assure the consistency of such an estimator, we have used both Hill and t-Hill estimators. We have provided proof of the weak consistency of the t-Hill estimator in the case of dependent data. This estimator has a simple form and it provides a nice trade-off between efficiency and robustness. Finally, we have presented a discussion on its robustness. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2014
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