| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1180755 | Chemometrics and Intelligent Laboratory Systems | 2013 | 10 Pages |
Abstract
⺠Efficient and robust model of the methane emission from sedge-grass marsh is given. ⺠Infinite moving average process with Pareto tailed exceedances is used. ⺠Data are possessing a clear heavy-tail pattern in residuals. ⺠Robustness is important since outliers can easily occur in a methane emission data. ⺠Proof of the weak consistency of t-Hill estimator for dependent data is given.
Related Topics
Physical Sciences and Engineering
Chemistry
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Authors
P. Jordanova, J. DuÅ¡ek, M. StehlÃk,