A full ARMA model for counts with bounded support and its application to rainy-days time series-Reference-Cited by-同舟云学术

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A full ARMA model for counts with bounded support and its application to rainy-days time series

Published:2018-07-21 Issue:9 Volume:32 Page:2495-2514
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Gouveia Sónia^ORCID,Möller Tobias A.^ORCID,Weiß Christian H.^ORCID,Scotto Manuel G.^ORCID

Funder

Deutscher Akademischer Austauschdienst

Fundação para a Ciência e a Tecnologia

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/article/10.1007/s00477-018-1584-3/fulltext.html

Reference27 articles.

1. Agnew MD, Goodess CM, Hemming D, Giannakopoulos C, Bindi M, Dibari C, El-Askary H, El-Hattab M, El-Raey M, Ferrise R, Harzallah A, Hatzak M, Kostopoulou E, Lionello P, Abed SS, Sánchez-Arcilla A, Senouci M, Sommer R, Zoheir Taleb M, Tanzarella A (2013) Stakeholders. In: Navarra A, Tubiana L (eds) Regional assessment of climate change in the mediterranean. Springer International Publishing, Berlin, pp 23–37

2. Berchtold A (2002) High-order extensions of the double chain Markov model. Stoch models 18:193–227

3. Blight PA (1989) Time series formed from the superposition of discrete renewal processes. J Appl Probab 26:189–195

4. Chang TJ, Kavvas ML, Delleur JW (1984) Modeling of sequences of wet and dry days by binary discrete autoregressive moving average processes. J Clim Appl Meteor 23:1367–1378

5. Cui Y, Lund R (2009) A new look at time series of counts. Biometrika 96:781–792

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