












Key Features
 Includes material on probability, including Bayesian influence, probability density function and metropolis algorithm
 Offers detailed discussion of the application of inverse theory to tectonic, gravitational and geomagnetic studies
 Contains numerous examples, color figures and endofchapter homework problems to help readers explore and further understand presented ideas
 Includes MATLAB examples and problem sets
 Updated and refined throughout to bring the text in line with current understanding and improved examples and case studies
 Expanded sections to cover material, such as secondderivation smoothing and chisquared tests not covered in the previous edition

About the Book
Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention to those methods that generate images of the earth. Data analysis can be a mathematically complex activity, but the treatment in this volume is carefully designed to emphasize those mathematical techniques that readers will find the most familiar and to systematically introduce lessfamiliar ones.
Using problems and case studies, along with MATLAB computer code and summaries of methods, the book provides data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory.
Readership
Geophysicists, Seismologists, Geodesists, Geodynamicists, Tectonophysicists, Rock Physicists and Geochemists
Content
1. Describing Inverse Problems 2. Some Comments on Probability Theory 3. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 1: The Length Method 4. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 2: Generalized Inverses 5. Solution of the Linear, Gaussian Inverse Problem, Viewpoint 3: Maximum Likelihood Methods 6. Nonuniqueness and Localized Averages 7. Applications of Vector Spaces 8. Linear Inverse Problems and NonGaussian Statistics 9. Nonlinear Inverse Problems 10. Factor Analysis 11. Continuous Inverse Theory and Tomography 12. Sample Inverse Problems 13. Applications of Inverse Theory to Solid Earth Geophysics




