Correction to "Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models".
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.70008
- Publication type:
- Article
Works matching IS 11804009 AND DT 2025 AND VI 36 AND IP 2
Results: 19
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New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.70006
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- Article
3
Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.70005
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- Article
4
Statistical Inference for Natural Resources and Biodiversity.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.70004
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- Article
5
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.70003
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- Publication type:
- Article
6
Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.70002
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- Article
7
Discussion on "Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models".
- Published in:
- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.70001
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- Publication type:
- Article
8
"Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models".
- Published in:
- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.70000
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- Publication type:
- Article
9
Fuzzy Clustering of Circular Time Series With Applications to Wind Data.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2902
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- Publication type:
- Article
10
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2901
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- Publication type:
- Article
11
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models.
- Published in:
- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2900
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- Publication type:
- Article
12
Discussion on "Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models" by Bonas et al.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2898
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- Publication type:
- Article
13
P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2897
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- Publication type:
- Article
14
The Effect of the North Atlantic Oscillation on Monthly Precipitation in Selected European Locations: A Non‐Linear Time Series Approach.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2896
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- Publication type:
- Article
15
Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO<sub>2</sub> Emissions.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2895
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- Publication type:
- Article
16
Spatially Explicit Model to Disentangle Effects of Environment on Annual Fish Reproduction.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2894
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- Publication type:
- Article
17
Multidimensional Spatiotemporal Clustering – An Application to Environmental Sustainability Scores in Europe.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2893
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- Publication type:
- Article
18
A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables.
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- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2891
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- Publication type:
- Article
19
Issue Information.
- Published in:
- Environmetrics, 2025, v. 36, n. 2, p. 1, doi. 10.1002/env.2857
- Publication type:
- Article