Buch, Englisch, 342 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 546 g
Buch, Englisch, 342 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 546 g
Reihe: Springer Series in Statistics
ISBN: 978-1-4419-2086-7
Verlag: Springer
This book provides a broad introduction to the fascinating subject of environmental space-time processes; addressing the role of uncertainty. Within that context, it covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. The contents reflect the authors’ cumulative knowledge gained over many years of consulting and research collaboration. In particular, with members of their research group, they developed within a hierarchical Bayesian framework, the new statistical approaches presented in the book for analyzing, modeling, and monitoring environmental spatio-temporal processes. Furthermore they indicate new directions for development. This book contains technical and non-technical material and it is written for statistical scientists as well as consultants, subject area researchers and students in related fields.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Umweltwissenschaften Umweltwissenschaften
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Geowissenschaften Geologie GIS, Geoinformatik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
- Geowissenschaften Umweltwissenschaften Angewandte Ökologie
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Luftreinhaltung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Geowissenschaften Umweltwissenschaften Umweltüberwachung, Umweltanalytik, Umweltinformatik
Weitere Infos & Material
Environmental Processes.- First Encounters.- Case Study.- Uncertainty.- Measurement.- Modeling.- Space-Time Modeling.- Covariances.- Spatial Prediction: Classical Approaches.- Bayesian Kriging.- Hierarchical Bayesian Kriging.- Design and Risk Assessment.- Multivariate Modeling***.- Environmental Network Design.- Extremes.- Implementation.- Risk Assessment.- A Tutorial in R.- Appendices.- References.
