{"product_id":"solved-problems-in-geostatistics-9780470177921","title":"Solved Problems in Geostatistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eSolved Problems in Geostatistics  brings together exercises and projects that demonstrate key principles and build strong bridges between theory and practice. Each chapter focuses on a comprehensive topic with examples and problems for a technologically evolving audience.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e?The book is more than its title; it really is a treatise on how to model data by two experienced and competent analysts.?(\u003ci\u003eBiometrics\u003c\/i\u003e , September 2009)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface and Acknowledgments.  \u003cp\u003e\u003cb\u003e1. Introduction.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Plan of this Book.\u003c\/p\u003e \u003cp\u003e1.2 The Premise of Geostatistics.\u003c\/p\u003e \u003cp\u003e1.3 Nomenclature.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Getting Comfortable with Probabilities.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Parametric Probability Distributions.\u003c\/p\u003e \u003cp\u003e2.2 Variance of Linear Combinations.\u003c\/p\u003e \u003cp\u003e2.3 Standardization and Probability Intervals.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Obtaining Representative Distributions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Basic Declustering.\u003c\/p\u003e \u003cp\u003e3.2 Debiasing with Bivariate Glaussian Distribution.\u003c\/p\u003e \u003cp\u003e3.3 Comparison of Declustering Methods.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Monte Carlo Simulation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Impact of the Central Limit Theorem.\u003c\/p\u003e \u003cp\u003e4.2 Bootstrap and Spatial Bootstrap.\u003c\/p\u003e \u003cp\u003e4.3 Transfer of Uncertainty.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Variograms and Volume Variance.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Geometric Anisotropy.\u003c\/p\u003e \u003cp\u003e5.2 Variogram Calculation.\u003c\/p\u003e \u003cp\u003e5.3 Variogram Modeling and Volume Variance.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Kriging.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Stationary Kriging.\u003c\/p\u003e \u003cp\u003e6.2 Nonstationary Kriging.\u003c\/p\u003e \u003cp\u003e6.3 Screening Effect of Kriging.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Gaussian Simulation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Bivariate Gaussian Distribution.\u003c\/p\u003e \u003cp\u003e7.2 Conditioning by Kriging.\u003c\/p\u003e \u003cp\u003e7.3 Gaussian Simulation.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Indicators.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Variogram of Objects.\u003c\/p\u003e \u003cp\u003e8.2 Indicator Variograms and the Gaussian Distribution.\u003c\/p\u003e \u003cp\u003e8.3 Indicator Simulation for Categorical Data.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Multiple Variables.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Linear Model of Coregionalization.\u003c\/p\u003e \u003cp\u003e9.2 Gaussian Cosimulation.\u003c\/p\u003e \u003cp\u003e9.3 Multiscale Cokriging.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Special Topics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Decision Making in the Presence of Uncertainty.\u003c\/p\u003e \u003cp\u003e10.2 Trend Model Construction.\u003c\/p\u003e \u003cp\u003e10.3 Multiple Point Statistics.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Closing Remarks.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBibliography.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":53515415224663,"sku":"9780470177921","price":87.26,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/solved-problems-in-geostatistics-9780470177921","provider":"Book Curl","version":"1.0","type":"link"}