
eBook - PDF
Handbook of Spatial Statistics
- 619 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Handbook of Spatial Statistics
About this book
Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.The handbook begins with a historical intro
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Yes, you can access Handbook of Spatial Statistics by Alan E. Gelfand, Peter Diggle, Peter Guttorp, Montserrat Fuentes, Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Part
I
Table of contents
- Front Cover
- Contents
- Preface
- List of Contributors
- Part I
- Chapter 1: Historical Introduction
- Part II: Continuous Spatial Variation
- Chapter 2: Continuous Parameter Stochastic Process Theory
- Chapter 3: Classical Geostatistical Methods
- Chapter 4: Likelihood-Based Methods
- Chapter 5: Spectral Domain
- Chapter 6: Asymptotics for Spatial Processes
- Chapter 7: Hierarchical Modeling with Spatial Data
- Chapter 8: Low-Rank Representations for Spatial Processes
- Chapter 9: Constructions for Nonstationary Spatial Processes
- Chapter 10: Monitoring Network Design
- Chapter 11: Non-Gaussian and Nonparametric Models forContinuous Spatial Data
- Part III: Discrete Spatial Variation
- Chapter 12: Discrete Spatial Variation
- Chapter 13: Conditional and Intrinsic Autoregressions
- Chapter 14: Disease Mapping
- Chapter 15: Spatial Econometrics
- Part IV: Spatial Point Patterns
- Chapter 16: Spatial Point Process Theory
- Chapter 17: Spatial Point Process Models
- Chapter 18: Nonparametric Methods
- Chapter 19: Parametric Methods
- Chapter 20: Modeling Strategies
- Chapter 21: Multivariate and Marked Point Processes
- Chater 22: Point Process Models and Methods in Spatial Epidemiology
- Part V: Spatio-Temporal Processes
- Chapter 23: Continuous Parameter Spatio-Temporal Processes
- Chapter 24: Dynamic Spatial Models Including Spatial Time Series
- Chapter 25: Spatio-Temporal Point Processes
- Chapter 26: Modeling Spatial Trajectories
- Chapter 27: Data Assimilation
- Part VI: Additional Topics
- Chapter 28: Multivariate Spatial Process Models
- Chapter 29: Misaligned Spatial Data: The Change of Support Problem
- Chapter 30: Spatial Aggregation and the Ecological Fallacy
- Chapter 31: Spatial Gradients and Wombling
- Index
- Body
- Back Cover