Regression methods for the appearances of extremes in climate data.
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- Environmetrics, 2022, v. 33, n. 7, p. 1, doi. 10.1002/env.2764
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- Publication type:
- Article
Works matching IS 11804009 AND DT 2022 AND VI 33 AND IP 7
Results: 7
1
2
Clustering of bivariate satellite time series: A quantile approach.
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- Environmetrics, 2022, v. 33, n. 7, p. 1, doi. 10.1002/env.2755
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- Publication type:
- Article
3
Changepoint detection in autocorrelated ordinal categorical time series.
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- Environmetrics, 2022, v. 33, n. 7, p. 1, doi. 10.1002/env.2752
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- Publication type:
- Article
4
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes.
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- Environmetrics, 2022, v. 33, n. 7, p. 1, doi. 10.1002/env.2751
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- Publication type:
- Article
5
From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources.
- Published in:
- Environmetrics, 2022, v. 33, n. 7, p. 1, doi. 10.1002/env.2750
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- Publication type:
- Article
6
A note on statistical tests for homogeneities in multivariate extreme value models for block maxima.
- Published in:
- Environmetrics, 2022, v. 33, n. 7, p. 1, doi. 10.1002/env.2746
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- Publication type:
- Article
7
Issue Information.
- Published in:
- Environmetrics, 2022, v. 33, n. 7, p. 1, doi. 10.1002/env.2692
- Publication type:
- Article