Open Access
| Issue |
E3S Web Conf.
Volume 44, 2018
10th Conference on Interdisciplinary Problems in Environmental Protection and Engineering EKO-DOK 2018
|
|
|---|---|---|
| Article Number | 00093 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/20184400093 | |
| Published online | 03 July 2018 | |
- O. Ledvinka, E3S Web Conf. 17, 00051 (2017) [CrossRef] [Google Scholar]
- J. Beran, Wiley Interdiscip. Rev. Comput. Stat. 2, 26 (2010) [CrossRef] [Google Scholar]
- J. Beran, Statistics for Long-Memory Processes (Chapman & Hall, New York, 1994) [Google Scholar]
- J. Beran, Y. Feng, S. Gosh, R. Kulik, Long-Memory Processes: Probabilistic Properties and Statistical Methods (Springer, Berlin, 2013) [CrossRef] [Google Scholar]
- A. Montanari, in Theory and Applications of Long-Range Dependence, edited by P. Doukhan, G. Oppenheim, M.S. Taqqu (Birkhäuser, Boston, Massachusetts, 461–472, 2003) [Google Scholar]
- M.N. Khaliq, T.B.M.J. Ouarda, P. Gachon, L. Sushama, Water Resour. Res. 44, W08436 (2008) [CrossRef] [Google Scholar]
- M.N. Khaliq, L. Sushama, in Hydrologic Time Sereries Analysis: Theory and Practice (Springer Netherlands, Dordrecht, 201–221, 2012) [Google Scholar]
- A.I. McLeod, J. Time Ser. Anal. 19, 473 (1998) [CrossRef] [Google Scholar]
- K.H. Hamed, J. Hydrol. 349, 350 (2008) [CrossRef] [Google Scholar]
- E. Ehsanzadeh, K. Adamowski, Hydrol. Process. 24, 970 (2010) [CrossRef] [Google Scholar]
- R Core Team, R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, 2017) [Google Scholar]
- S. Fatichi, S.M. Barbosa, E. Caporali, M.E. Silva, J. Geophys. Res. 114, D18121 (2009) [CrossRef] [Google Scholar]
- A. Montanari, R. Rosso, M.S. Taqqu, Water Resour. Res. 33, 1035 (1997) [CrossRef] [Google Scholar]
- E. Szolgayová, J. Arlt, G. Blöschl, J. Szolgay, J. Hydrol. Hydromech. 62, 24 (2014) [CrossRef] [Google Scholar]
- J.W. Kantelhardt, E. Koscielny-Bunde, D. Rybski, P. Braun, A. Bunde, S. Havlin, J. Geophys. Res. 111, D01106 (2006) [CrossRef] [Google Scholar]
- O. Ledvinka, in Hydrogy of a Small Basin 2014, edited by K. Brych, M. Tesaø (Czech Hydrometeorological Institute, Praha, 287–295, 2014) [Google Scholar]
- D.B. Percival, A.T. Walden, Wavelet Methods for Time Series Analysis (Cambridge University Press, Cambridge, New York, 2000) [CrossRef] [Google Scholar]
- D. Kwiatkowski, P.C.B. Phillips, P. Schmidt, Y. Shin, J. Econom. 54, 159 (1992) [CrossRef] [Google Scholar]
- P.C.B. Phillips, P. Perron, Biometrika 75, 335 (1988) [CrossRef] [Google Scholar]
- S.M. Barbosa, M.E. Silva, M.J. Fernandes, in Nonlinear Time Series Analysis in the Geosciences: Applications in Climatology, Geodynamics and Solar-Terrestrial Physics, edited by R.V. Donner, S.M. Barbosa (Springer-Verlag, Berlin, 157–173, 2008) [CrossRef] [Google Scholar]
- O. Ledvinka, Proc. Int. Assoc. Hydrol. Sci. 366, 188 (2015) [Google Scholar]
- O. Ledvinka, Acta Hydrol. Slovaca 16, 199 (2015) [Google Scholar]
- A. Trapletti, K. Hornik, tseries: Time Series Analysis and Computational Finance (2017) [Google Scholar]
- M.S. Taqqu, V. Teverovsky, W. Willinger, Fractals 3, 785 (1995) [CrossRef] [Google Scholar]
- D. Koutsoyiannis, Hydrol. Sci. J. 48, 3 (2003) [CrossRef] [Google Scholar]
- H. Tyralis, D. Koutsoyiannis, Stoch. Environ. Res. Risk Assess. 25, 21 (2011) [CrossRef] [Google Scholar]
- X. Navarro, F. Porée, A. Beuchée, G. Carrault, Digit. Signal Process. 23, 1610 (2013) [CrossRef] [Google Scholar]
- D.B. Percival, Biometrika 82, 619 (1995) [CrossRef] [Google Scholar]
- D.B. Percival, in Nonlinear Time Series Analysis in the Geosciences: Applications in Climatology, Geodynamics and Solar-Terrestrial Physics, edited by R.V. Donner, S.M. Barbosa (Springer-Verlag, Berlin, 61–79, 2008) [CrossRef] [Google Scholar]
- W. Constantine, D. Percival, wmtsa: Wavelet Methods for Time Series Analysis (2017) [Google Scholar]
- H.D. Vinod, J. Asian Econ. 17, 955 (2006) [CrossRef] [Google Scholar]
- H.D. Vinod, J. López-de-Lacalle, J. Stat. Softw. 29, 1 (2009) [CrossRef] [Google Scholar]
- S.M. Barbosa, J. Clim. 24, 2516 (2011) [CrossRef] [Google Scholar]
- S.M. Barbosa, M.G. Scotto, A.M. Alonso, Nat. Hazards Earth Syst. Sci. 11, 3227 (2011) [CrossRef] [Google Scholar]
- H. Wickham, J. Bryan, readxl: Read Excel Files (2017) [Google Scholar]
- M. Dowle, A. Srinivasan, data.table: Extension of `data.frame` (2017) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.