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Modeling arsenic in European topsoils with a coupled semiparametric (GAMLSS-RF) model for censored data

  • Published:2024-03 Issue: Volume:185 Page:108544
  • ISSN:0160-4120
  • Container-title:Environment International
  • language:en
  • Short-container-title:Environment International

Author:

Fendrich Arthur Nicolaus,Van Eynde Elise,Stasinopoulos Dimitrios M.,Rigby Robert A.,Mezquita Felipe Yunta,Panagos Panos

Funder

European Commission Joint Research Centre

Publisher

Elsevier BV

Reference81 articles.

1. Cadmium, lead, mercury and arsenic in animal feed and feed materials – trend analysis of monitoring results;Adamse;Food Additives & Contaminants: Part A,2017

2. Trace elements in the terrestrial environment;Adriano;In Springer eBooks,1986

3. Detecting arsenic contamination using satellite imagery and machine learning;Agrawal;Toxics,2021

4. Visualizing the effects of predictor variables in black box supervised learning models;Apley;J. R. Stat. Soc. Ser. B Stat Methodol.,2020

5. A comparison among interpretative proposals for random forests;Aria;Machine Learning with Applications,2021
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