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Special issue on modelling complex environmental data.
- Published in:
- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 183, doi. 10.1007/s10651-024-00621-x
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- Article
ARPALData: an R package for retrieving and analyzing air quality and weather data from ARPA Lombardia (Italy).
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 187, doi. 10.1007/s10651-024-00599-6
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A pre-whitening with block-bootstrap cross-correlation procedure for temporal alignment of data sampled by eddy covariance systems.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 219, doi. 10.1007/s10651-024-00615-9
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- Article
Spatiotemporal modelling of PM2.5 concentrations in Lombardy (Italy): a comparative study.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 245, doi. 10.1007/s10651-023-00589-0
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- Article
Air pollution in Venice and in its mainland: a first assessment of air quality control policies.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 273, doi. 10.1007/s10651-024-00602-0
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- Article
A comprehensive environmental exposure indicator and respiratory health in asthmatic children: a case study.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 297, doi. 10.1007/s10651-024-00610-0
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- Article
Discrete Beta and Shifted Beta-Binomial models for rating and ranking data.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 317, doi. 10.1007/s10651-023-00592-5
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- Article
Calibrated EMOS: applications to temperature and wind speed forecasting.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 339, doi. 10.1007/s10651-024-00606-w
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- Article
Climate model selection via conformal clustering of spatial functional data.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 365, doi. 10.1007/s10651-024-00616-8
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- Article
Modeling wildland fire burn severity in California using a spatial Super Learner approach.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 387, doi. 10.1007/s10651-024-00601-1
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- Article
Severe convective storms' reproduction: empirical analysis from the marked self-exciting point processes point of view.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 409, doi. 10.1007/s10651-023-00593-4
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- Article
On the effect of confounding in linear regression models: an approach based on the theory of quadratic forms.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 433, doi. 10.1007/s10651-024-00604-y
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- Article
A functional regression model for the retrospective assessment of asbestos exposure among Venetian dock workers.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 463, doi. 10.1007/s10651-024-00608-8
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- Article
Estimating the number of sequencing errors in microbial diversity studies.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 485, doi. 10.1007/s10651-024-00614-w
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- Article
Space-time clustering of seismic events in Chile using ST-DBSCAN-EV algorithm.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 509, doi. 10.1007/s10651-023-00594-3
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- Article
Advances in Kth nearest-neighbour clutter removal.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 537, doi. 10.1007/s10651-023-00588-1
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- Article
Functional principal component analysis for incomplete space–time data.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 555, doi. 10.1007/s10651-024-00598-7
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- Article
Sequential hypothesis testing for selecting the number of changepoints in segmented regression models.
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- Environmental & Ecological Statistics, 2024, v. 31, n. 2, p. 583, doi. 10.1007/s10651-024-00605-x
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- Article