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A geostatistical approach to define guidelines for Radon prone area identification

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Publication:257554
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DOI10.1007/s10260-009-0128-xzbMath1332.86008OpenAlexW1972574497MaRDI QIDQ257554

Daniela de Bartolo, Giorgio Somà, Piero Quatto, Riccardo Borgoni

Publication date: 17 March 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: http://www.statistica.unimib.it/utenti/WorkingPapers/WorkingPapers/20071102.pdf

zbMATH Keywords

change of support problemKriginggeostatistical conditional simulationRadon prone areas


Mathematics Subject Classification ID

Applications of statistics to physics (62P35) Geostatistics (86A32)


Related Items

Identifying radon-prone building typologies by marginal modelling



Cites Work

  • Unnamed Item
  • Variograms of order \(\omega\): a tool to validate a bivariate distribution model
  • On smoothing and the bootstrap
  • Histogram and variogram inference in the multigaussian model
  • Anisotropic Spatial Sampling Designs for Urban Pollution
  • Robust Locally Weighted Regression and Smoothing Scatterplots
  • Combining Incompatible Spatial Data
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