Computational Statistics in the Earth Sciences

With Applications in MATLAB

Nonfiction, Science & Nature, Science, Earth Sciences, Mathematics
Cover of the book Computational Statistics in the Earth Sciences by Alan D. Chave, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Alan D. Chave ISBN: 9781108506007
Publisher: Cambridge University Press Publication: October 19, 2017
Imprint: Cambridge University Press Language: English
Author: Alan D. Chave
ISBN: 9781108506007
Publisher: Cambridge University Press
Publication: October 19, 2017
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Modeling Monetary Economies by Alan D. Chave
Cover of the book Inferences during Reading by Alan D. Chave
Cover of the book Encountering the Pacific in the Age of the Enlightenment by Alan D. Chave
Cover of the book Constitutionalism beyond Liberalism by Alan D. Chave
Cover of the book An Introduction to Feminism by Alan D. Chave
Cover of the book Architecture and Politics in Republican Rome by Alan D. Chave
Cover of the book Scaling by Alan D. Chave
Cover of the book Legal Consequences of Peremptory Norms in International Law by Alan D. Chave
Cover of the book Managing Employee Performance and Reward by Alan D. Chave
Cover of the book German Intellectuals and the Challenge of Democratic Renewal by Alan D. Chave
Cover of the book The Give and Take of Sustainability by Alan D. Chave
Cover of the book Consumer Credit, Debt and Investment in Europe by Alan D. Chave
Cover of the book The Logic of Securities Law by Alan D. Chave
Cover of the book Shakespeare in the Eighteenth Century by Alan D. Chave
Cover of the book Disorders of Hemoglobin by Alan D. Chave
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy