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Modeling methane emission via the infinite moving average process
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SYSNO ASEP 0391341 Druh ASEP J - Článek v odborném periodiku Zařazení RIV Záznam nebyl označen do RIV Poddruh J Článek ve WOS Název Modeling methane emission via the infinite moving average process Tvůrce(i) Jordanova, D. (BG)
Dušek, Jiří (UEK-B) RID, SAI
Stehlík, M. (AT)Zdroj.dok. Chemometrics and Intelligent Laboratory Systems. - : Elsevier - ISSN 0169-7439
Roč. 122, - (2013), s. 40-49Poč.str. 11 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova Environmental chemistry ; Pareto tails ; t-Hill estimator ; Weak consistency ; Moving average process ; Methane emission model Vědní obor RIV EH - Ekologie - společenstva CEP ED1.1.00/02.0073 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GAP504/11/1151 GA ČR - Grantová agentura ČR Institucionální podpora RVO:67179843 - RVO:67179843 UT WOS 000316428400005 EID SCOPUS 84873553471 DOI 10.1016/j.chemolab.2012.12.006 Anotace 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. Pracoviště Ústav výzkumu globální změny Kontakt Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Rok sběru 2014
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