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Computational Statistics in the Earth Sciences

Computational Statistics in the Earth Sciences
With Applications in MATLAB

$78.99 (P)

  • Author: Alan D. Chave, Woods Hole Oceanographic Institution, Massachusetts
  • Date Published: November 2017
  • availability: In stock
  • format: Hardback
  • isbn: 9781107096004

$ 78.99 (P)
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About the Authors
  • Based on a course taught by the author, this book combines the theoretical underpinnings of statistics with the practical analysis of Earth sciences data using MATLAB. The book is organized to introduce the underlying concepts, and then extends these to the data, covering methods that are most applicable to Earth sciences. Topics include classical parametric estimation and hypothesis testing, and more advanced least squares-based, nonparametric, and resampling estimators. Multivariate data analysis, not often encountered in introductory texts, is presented later in the book, and compositional data is treated at the end. Datasets and bespoke MATLAB scripts used in the book are available online, as well as additional datasets and suggested questions for use by instructors. Aimed at entering graduate students and practicing researchers in the Earth and ocean sciences, this book is ideal for those who want to learn how to analyse data using MATLAB in a statistically-rigorous manner.

    • MATLAB examples, including scripts, are integrated with the underlying theory throughout the book, facilitating a 'learning by example' approach for those who are not mathematically inclined, and reinforcing concepts for those who are
    • Exemplar data are taken from the Earth and ocean sciences, to make the examples more familiar to readers
    • The new field of compositional data that pervades the Earth sciences is covered in the final chapter
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    Reviews & endorsements

    'One of the main strengths of this book is the combination of mathematical rigor with extensive examples, allowing readers to work through case studies to better understand the concepts presented. The tool used for this purpose is MATLAB, which is widely used in the earth science community. Examples are drawn from geophysics, astrophysics, and anthropology (among others). Both the scripts and the data examples used in the book are available for download from the publisher's website. … This book is an ideal guide for graduate students seeking a comprehensive and rigorous understanding of statistical methods in earth sciences. For the more mature earth scientist (and I include myself in that number), it provides a useful reference to widely used statistical concepts that many of us regularly encounter.' Lucy MacGregor, The Leading Edge

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    Product details

    • Date Published: November 2017
    • format: Hardback
    • isbn: 9781107096004
    • length: 464 pages
    • dimensions: 253 x 191 x 25 mm
    • weight: 1.18kg
    • contains: 169 b/w illus.
    • availability: In stock
  • Table of Contents

    Preface
    1. Probability concepts
    2. Statistical concepts
    3. Statistical distributions
    4. Characterization of data
    5. Point, interval and ratio estimators
    6. Hypothesis testing
    7. Nonparametric methods
    8. Resampling methods
    9. Linear regression
    10. Multivariate statistics
    11. Compositional data
    Appendix: MATLAB functions to produce ternary diagrams
    References
    Index.

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    Computational Statistics in the Earth Sciences

    Alan D. Chave

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  • Author

    Alan D. Chave, Woods Hole Oceanographic Institution, Massachusetts
    Alan D. Chave is a Senior Scientist at Woods Hole Oceanographic Institution (WHOI), Massachusetts. He has been a Chartered Statistician since 2003, and has taught a graduate-level course in statistics in the MIT/WHOI Joint Program for twenty years. For over forty years, he has conducted research utilizing the magnetotelluric method, primarily in the oceans, and using electromagnetic measurements to define the barotropic water velocity. Dr Chave has also designed instrumentation for optical and chemical measurements in the ocean, and has played a leading role in the development of long-term ocean observatories worldwide. He has been an associate editor of the Journal of Geophysical Research and editor-in-chief of Reviews of Geophysics, and is the co-author of The Magnetotelluric Method (Cambridge, 2012).

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