Decision-Making for Earth Resource Development : Quantifying Uncertainty

• Autore: Caers Jef
• Pubblicazione: Newark : , : American Geophysical Union, , 2026; ©2026
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (385 pages)
• Soggetto topico: Bayesian statistical decision theory; Uncertainty (Information theory)
• Nota di contenuto: Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Acknowledgments -- Chapter 1 Real-World Decision-Making Cases -- Chapter 2 Decision-Making Under Uncertainty Using Artificial Intelligence -- Chapter 3 Data Science and Machine Learning for Uncertainty Quantification -- Chapter 4 Sensitivity Analysis -- Chapter 5 How to Think About Uncertainty: A Popper-Bayes Philosophy -- Chapter 6 Geological Priors and Inversion -- Chapter 7 A Popper-Bayes Protocol for Uncertainty Quantification in the Context of Decision-Making -- Chapter 8 Decision-Making in Developing Earth Resources -- Chapter 9 Software Engineering and Implementation -- INDEX -- EULA.
• Sommario/riassunto: Earth's subsurface offers many vital resources--such as minerals, geothermal energy, and clean water--but decisions regarding exploration and extraction must balance resource value against environmental impact.This can only be addressed by accepting uncertainty as an integral part of most decisions.
• Titolo autorizzato: Decision-Making for Earth Resource Development
• ISBN: 9781394306817
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911124865203321
• Lo trovi qui: Univ. Federico II
• Serie: Geophysical Monograph Series