Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method.
- Published in:
- Environmetrics, 2022, v. 33, n. 5, p. 1, doi. 10.1002/env.2730
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- Publication type:
- Article
Works matching IS 11804009 AND DT 2022 AND VI 33 AND IP 5
Results: 6
1
2
Two‐phase adaptive cluster sampling with circular field plots.
- Published in:
- Environmetrics, 2022, v. 33, n. 5, p. 1, doi. 10.1002/env.2729
- By:
- Publication type:
- Article
3
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms.
- Published in:
- Environmetrics, 2022, v. 33, n. 5, p. 1, doi. 10.1002/env.2728
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- Publication type:
- Article
4
Mitigating spatial confounding by explicitly correlating Gaussian random fields.
- Published in:
- Environmetrics, 2022, v. 33, n. 5, p. 1, doi. 10.1002/env.2727
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- Publication type:
- Article
5
Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing.
- Published in:
- Environmetrics, 2022, v. 33, n. 5, p. 1, doi. 10.1002/env.2726
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- Publication type:
- Article
6
Issue Information.
- Published in:
- Environmetrics, 2022, v. 33, n. 5, p. 1, doi. 10.1002/env.2690
- Publication type:
- Article