A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data.
- Published in:
- Environmetrics, 2022, v. 33, n. 4, p. 1, doi. 10.1002/env.2724
- By:
- Publication type:
- Article
Works matching IS 11804009 AND DT 2022 AND VI 33 AND IP 4
Results: 6
1
2
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown.
- Published in:
- Environmetrics, 2022, v. 33, n. 4, p. 1, doi. 10.1002/env.2723
- By:
- Publication type:
- Article
3
Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution.
- Published in:
- Environmetrics, 2022, v. 33, n. 4, p. 1, doi. 10.1002/env.2719
- By:
- Publication type:
- Article
4
Recognizing a spatial extreme dependence structure: A deep learning approach.
- Published in:
- Environmetrics, 2022, v. 33, n. 4, p. 1, doi. 10.1002/env.2714
- By:
- Publication type:
- Article
5
Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data.
- Published in:
- Environmetrics, 2022, v. 33, n. 4, p. 1, doi. 10.1002/env.2713
- By:
- Publication type:
- Article
6
Issue Information.
- Published in:
- Environmetrics, 2022, v. 33, n. 4, p. 1, doi. 10.1002/env.2689
- Publication type:
- Article