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Value of Information in the Earth Sciences: Integrating Spatial Modeling and Decision Analysis Hardcover - 2015
by Jo Eidsvik; Tapan Mukerji; Debarun Bhattacharjya
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- Title Value of Information in the Earth Sciences: Integrating Spatial Modeling and Decision Analysis
- Author Jo Eidsvik; Tapan Mukerji; Debarun Bhattacharjya
- Binding Hardcover
- Pages 396
- Volumes 1
- Language ENG
- Publisher Cambridge University Press
- Date 2015-11-19
- ISBN 9781107040267 / 1107040264
- Weight 2.02 lbs (0.92 kg)
- Dimensions 9.89 x 7.06 x 0.89 in (25.12 x 17.93 x 2.26 cm)
- Library of Congress subjects Communication in science, Geochemical prospecting
- Library of Congress Catalog Number 2015022572
- Dewey Decimal Code 550.011
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VALUE OF INFORMATION IN THE EARTH SCIENCES
by JO EIDSVIK , TAPAN MUKERJI , DEBARUN BHATTACHARJYA
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Value of Information in the Earth Sciences: Integrating Spatial Modeling and Decision Analysis
by Edisvik, Jo/ Mukerji, Tapan/ Bhattacharjya, Devarun
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Cambridge Univ Pr, 2015. Hardcover. New. 1st edition. 396 pages. 9.75x7.00x0.75 inches.
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Value of Information in the Earth Sciences: Integrating Spatial Modeling and Decision Analysis
by Eidsvik, Jo; Mukerji, Tapan; Bhattacharjya, Debarun
- New
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- Hardcover
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- 9781107040267
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Cambridge University Press. hardcover. New. 6x0x9. Brand New Book in Publishers original Sealing
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Value of Information in the Earth Sciences by Eidsvik, Jo
- Used
- Hardcover
- Condition
- Used
- Binding
- Hardcover
- ISBN 13
- 9781107040267
- ISBN 10
- 1107040264
- Quantity Available
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Johannesburg, South Africa
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ISBN: 9781107040267Cambridge University Press, 01 January 2015
Hardback, 396 pages
Gathering the right kind and the right amount of information is crucial for any decision-making process. This book presents a unified framework for assessing the value of potential data gathering schemes by integrating spatial modelling and decision analysis, with a focus on the Earth sciences. The authors discuss the value of imperfect versus perfect information, and the value of total versus partial information, where only subsets of the data are acquired. Concepts are illustrated using a suite of quantitative tools from decision analysis, such as decision trees and influence diagrams, as well as models for continuous and discrete dependent spatial variables, including Bayesian networks, Markov random fields, Gaussian processes, and multiple-point geostatistics. Unique in scope, this book is of interest to students, researchers and industry professionals in the Earth and environmental sciences, who use applied… Read More
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