Bayesian benchmark dose risk assessment with mixed‐factor quantal data.
- Published in:
- Environmetrics, 2024, v. 35, n. 5, p. 1, doi. 10.1002/env.2854
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- Publication type:
- Article
Works matching IS 11804009 AND DT 2024 AND VI 35 AND IP 5
Results: 6
1
2
Pointwise data depth for univariate and multivariate functional outlier detection.
- Published in:
- Environmetrics, 2024, v. 35, n. 5, p. 1, doi. 10.1002/env.2851
- By:
- Publication type:
- Article
3
Contamination severity index: An analysis of Bangladesh groundwater arsenic.
- Published in:
- Environmetrics, 2024, v. 35, n. 5, p. 1, doi. 10.1002/env.2850
- By:
- Publication type:
- Article
4
Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data.
- Published in:
- Environmetrics, 2024, v. 35, n. 5, p. 1, doi. 10.1002/env.2849
- By:
- Publication type:
- Article
5
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects.
- Published in:
- Environmetrics, 2024, v. 35, n. 5, p. 1, doi. 10.1002/env.2848
- By:
- Publication type:
- Article
6
Issue Information.
- Published in:
- Environmetrics, 2024, v. 35, n. 5, p. 1, doi. 10.1002/env.2811
- Publication type:
- Article