Paperback. An initial course in scientific data analysis and hypothesis testing designed for students in all science, technology, engineering, and mathematics disciplines Data Analysis for the Geosciences: Essentials of Uncertainty, Comparison, and Visualization is a textbook for upper-level undergraduate STEM students, designed to be their statistics course in a degree program. This volume provides a comprehensive introduction to data analysis, visualization, and data-model comparisons and metrics, within the framework of the uncertainty around the values. It offers a learning experience based on real data from the Earth, ocean, atmospheric, space, and planetary sciences. About this volume: Serves as an initial course in scientific data analysis and hypothesis testingFocuses on the methods of data processingIntroduces a wide range of analysis techniquesDescribes the many ways to compare data with modelsCenters on applications rather than derivationsExplains how to select appropriate statistics for meaningful decisionsExplores the importance of the concept of uncertaintyUses examples from real geoscience observationsHomework problems at the end of chapters The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Data Analysis for the Geosciences (Paperback)
Publisher: John Wiley & Sons Inc, Wasington
Publication Date: 2023
Language: English
ISBN 10: 1119747872
ISBN 13: 9781119747871
Binding: Paperback
Condition: new

About this title

Synopsis

An initial course in scientific data analysis and hypothesis testing designed for students in all science, technology, engineering, and mathematics disciplines

Data Analysis for the Geosciences: Essentials of Uncertainty, Comparison, and Visualization is a textbook for upper-level undergraduate STEM students, designed to be their statistics course in a degree program.

This volume provides a comprehensive introduction to data analysis, visualization, and data-model comparisons and metrics, within the framework of the uncertainty around the values. It offers a learning experience based on real data from the Earth, ocean, atmospheric, space, and planetary sciences.

About this volume:

Serves as an initial course in scientific data analysis and hypothesis testing
Focuses on the methods of data processing
Introduces a wide range of analysis techniques
Describes the many ways to compare data with models
Centers on applications rather than derivations
Explains how to select appropriate statistics for meaningful decisions
Explores the importance of the concept of uncertainty
Uses examples from real geoscience observations
Homework problems at the end of chapters

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

About the Author

Michael W. Liemohn, University of Michigan, USA

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