Computational Statistics in the Earth Sciences
eBook - PDF

Computational Statistics in the Earth Sciences

With Applications in MATLAB

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Computational Statistics in the Earth Sciences

With Applications in MATLAB

About this book

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.

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Yes, you can access Computational Statistics in the Earth Sciences by Alan D. Chave in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Table of contents
  6. Preface
  7. 1 Probability Concepts
  8. 2 Statistical Concepts
  9. 3 Statistical Distributions
  10. 4 Characterization of Data
  11. 5 Point, Interval, and Ratio Estimators
  12. 6 Hypothesis Testing
  13. 7 Nonparametric Methods
  14. 8 Resampling Methods
  15. 9 Linear Regression
  16. 10 Multivariate Statistics
  17. 11 Compositional Data
  18. References
  19. Index