Forecasting SO2 pollution incidents by means of quantile curves based on additive models

DOI10.1002/env.2384zbMath1525.62176OpenAlexW2267990722WikidataQ57837992 ScholiaQ57837992MaRDI QIDQ6179620

Celestino Ordóñez, Isabel Martínez-Silva, Javier Roca‐Pardiñas

Publication date: 18 December 2023

Published in: Environmetrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/env.2384

zbMATH Keywords

bootstrappingkernel smoothers\(\mathrm{SO}_2\) pollution incidentsquantile curve

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Simple Incorporation of Interactions into Additive Models
• An Effective Bandwidth Selector for Local Least Squares Regression
• Thin Plate Regression Splines
• Local Likelihood Estimation in Generalized Additive Models
• Predicting Using Box-Jenkins, Nonparametric, and Bootstrap Techniques

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