Works matching IS 11804009 AND DT 2020 AND VI 31 AND IP 7
Results: 11
Rejoinder to the discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2659
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- Publication type:
- Article
Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2651
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- Publication type:
- Article
Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2650
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- Publication type:
- Article
Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2649
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- Publication type:
- Article
Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2647
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- Publication type:
- Article
On modeling positive continuous data with spatiotemporal dependence.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2632
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- Article
An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2630
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- Publication type:
- Article
Ensemble forecasting of the Zika space‐time spread with topological data analysis.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2629
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- Publication type:
- Article
A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2628
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- Publication type:
- Article
Space‐time autoregressive estimation and prediction with missing data based on Kalman filtering.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2627
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- Publication type:
- Article
Issue Information.
- Published in:
- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2589
- Publication type:
- Article