On modeling positive continuous data with spatiotemporal dependence (English)
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In:
Environmetrics
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31
, 7
;
2020
- Article (Journal) / Electronic Resource
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Title:On modeling positive continuous data with spatiotemporal dependence
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Contributors:
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Published in:Environmetrics ; 31, 7
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Publisher:
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Publication date:2020-11-01
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Size:21 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 31, Issue 7
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resourcesAzzalini, Adelchi et al. | 2020
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Space‐time autoregressive estimation and prediction with missing data based on Kalman filteringPadilla, Leonardo / Lagos‐Álvarez, Bernado / Mateu, Jorge / Porcu, Emilio et al. | 2020
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Ensemble forecasting of the Zika space‐time spread with topological data analysisSoliman, Marwah / Lyubchich, Vyacheslav / Gel, Yulia R. et al. | 2020
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An extended and unified modeling framework for benchmark dose estimation for both continuous and binary dataAerts, Marc / Wheeler, Matthew W. / Abrahantes, José Cortiñas et al. | 2020
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On modeling positive continuous data with spatiotemporal dependenceBevilacqua, Moreno / Caamaño‐Carrillo, Christian / Gaetan, Carlo et al. | 2020
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Issue Information| 2020
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A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resourcesTagle, Felipe / Genton, Marc G. / Yip, Andrew / Mostamandi, Suleiman / Stenchikov, Georgiy / Castruccio, Stefano et al. | 2020
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Rejoinder to the discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resourcesTagle, Felipe / Genton, Marc G. / Yip, Andrew / Mostamandi, Suleiman / Stenchikov, Georgiy / Castruccio, Stefano et al. | 2020