Entropy based statistical inference for methane emissions released from wetland

Sabolova, R.; Sečkárová, V.; Dušek, J. and Stehlík, M. (2015). Entropy based statistical inference for methane emissions released from wetland. Chemometrics and Intelligent Laboratory Systems, 141 pp. 125–133.

DOI: https://doi.org/10.1016/j.chemolab.2014.12.008

Abstract

We concentrate on the paradigm question how much stochasticity and how much chaos are 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. A 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.

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About

• Item ORO ID
• 41931
• Item Type
• Journal Item
• ISSN
• 0169-7439
• Keywords
• chaos; entropy; Kullback–Leibler (KL) divergence; Pareto distribution; saddlepoint approximation; Wetland ecosystem
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2014 Elsevier B.V.
• Depositing User
• Radka Sabolova