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oapen-20.500.12657-618752024-03-27T14:14:40Z Geostatistics Toronto 2021 Avalos Sotomayor, Sebastian Alejandro Ortiz, Julian M. Srivastava, R. Mohan Stochastic Modeling Uncertainty Quantification Predictive modeling Random functions thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVG Geophysics This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021. This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics. 2023-03-17T15:20:47Z 2023-03-17T15:20:47Z 2023 book ONIX_20230317_9783031198458_29 9783031198458 https://library.oapen.org/handle/20.500.12657/61875 eng Springer Proceedings in Earth and Environmental Sciences application/pdf n/a 978-3-031-19845-8.pdf https://link.springer.com/978-3-031-19845-8 Springer Nature Springer International Publishing 10.1007/978-3-031-19845-8 10.1007/978-3-031-19845-8 6c6992af-b843-4f46-859c-f6e9998e40d5 7457d031-3942-4691-ac1a-cfbb4716f356 9783031198458 Springer International Publishing 281 Cham [...] open access
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This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021. This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.
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