Geostatistics: Modeling Spatial Uncertainty (Wiley Series in Probability and Statistics. Applied Probability and Statistics.)

Chiles, Jean-Paul; Delfiner, Pierre

ISBN 10: 0471083151 / ISBN 13: 9780471083153

Edité par Wiley-Interscience, 1999

A propos de cet article

This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.

N° de réf. du vendeur BRV.0471083151.G

Détails bibliographiques

• Titre: Geostatistics: Modeling Spatial Uncertainty (Wiley Series in Probability and Statistics. Applied Probability and Statistics.)
• Éditeur: Wiley-Interscience
• Date de parution: 1999
• Langue: anglais
• ISBN à 10 chiffres: 0471083151
• ISBN à 13 chiffres: 9780471083153
• Reliure: Couverture rigide
• État de l'article: good

A propos de ce titre

Synopsis

A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: Reviews the most up-to-date geostatistical methods and the types of problems they address. Emphasizes the statistical methodologies employed in spatial estimation. Presents simulation techniques and digital models of uncertainty. Features more than 150 figures and many concrete examples throughout the text. Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.

À propos de l?auteur

JEAN--PAUL CHILeS is a senior research scientist with the Bureau de Recherches Geologiques et Minieres (the French Geological Survey) in Orleans, France. PIERRE DELFINER is a scientific advisor in geosciences with Total Exploration Production in Paris, France.