9781107029767-1107029767-Quantitative Methods of Data Analysis for the Physical Sciences and Engineering

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering

ISBN-13: 9781107029767
ISBN-10: 1107029767
Edition: 1
Author: Douglas G. Martinson
Publication date: 2018
Publisher: Cambridge University Press
Format: Hardcover 626 pages
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Book details

ISBN-13: 9781107029767
ISBN-10: 1107029767
Edition: 1
Author: Douglas G. Martinson
Publication date: 2018
Publisher: Cambridge University Press
Format: Hardcover 626 pages

Summary

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering (ISBN-13: 9781107029767 and ISBN-10: 1107029767), written by authors Douglas G. Martinson, was published by Cambridge University Press in 2018. With an overall rating of 3.9 stars, it's a notable title among other Earth Sciences books. You can easily purchase or rent Quantitative Methods of Data Analysis for the Physical Sciences and Engineering (Hardcover) from BooksRun, along with many other new and used Earth Sciences books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students and practitioners. In recent years, data analysis methods have exploded alongside advanced computing power, and it is critical to understand such methods to get the most out of data, and to extract signal from noise. The book excels in explaining difficult concepts through simple explanations and detailed explanatory illustrations. Most unique is the focus on confidence limits for power spectra and their proper interpretation, something rare or completely missing in other books. Likewise, there is a thorough discussion of how to assess uncertainty via use of Expectancy, and the easy to apply and understand Bootstrap method. The book is written so that descriptions of each method are as self-contained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes.

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