Goodness‐of‐fit tests for βARMA hydrological time series modeling.
- Published in:
- Environmetrics, 2020, v. 31, n. 3, p. 1, doi. 10.1002/env.2607
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- Publication type:
- Article
Works matching IS 11804009 AND DT 2020 AND VI 31 AND IP 3
Results: 7
1
2
Bayesian inference for finite populations under spatial process settings.
- Published in:
- Environmetrics, 2020, v. 31, n. 3, p. 1, doi. 10.1002/env.2606
- By:
- Publication type:
- Article
3
Space–time trends and dependence of precipitation extremes in North‐Western Germany.
- Published in:
- Environmetrics, 2020, v. 31, n. 3, p. 1, doi. 10.1002/env.2605
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- Publication type:
- Article
4
Nonlinear reaction–diffusion process models improve inference for population dynamics.
- Published in:
- Environmetrics, 2020, v. 31, n. 3, p. 1, doi. 10.1002/env.2604
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- Publication type:
- Article
5
Estimating population size with imperfect detection using a parametric bootstrap.
- Published in:
- Environmetrics, 2020, v. 31, n. 3, p. 1, doi. 10.1002/env.2603
- By:
- Publication type:
- Article
6
A multivariate spatial skew‐t process for joint modeling of extreme precipitation indexes.
- Published in:
- Environmetrics, 2020, v. 31, n. 3, p. 1, doi. 10.1002/env.2602
- By:
- Publication type:
- Article
7
Issue Information.
- Published in:
- Environmetrics, 2020, v. 31, n. 3, p. 1, doi. 10.1002/env.2585
- Publication type:
- Article