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Measurements and their Uncertainties: A practical guide to modern error analysis Paperback – October 1, 2010

ISBN-13: 978-0199566334 ISBN-10: 019956633X Edition: 1st

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Product Details

  • Paperback: 160 pages
  • Publisher: Oxford University Press; 1 edition (October 1, 2010)
  • Language: English
  • ISBN-10: 019956633X
  • ISBN-13: 978-0199566334
  • Product Dimensions: 0.5 x 7.3 x 9.4 inches
  • Shipping Weight: 12.6 ounces (View shipping rates and policies)
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #720,174 in Books (See Top 100 in Books)

Editorial Reviews

Review

"With the shift from analytic methods to spreadsheet-based techniques, this book will enable students simultaneously to (a) become fluent in the choice and application of appropriate methods (b) understand the underlying principles." --David Saxon, University of Glasgow

About the Author


Ifan Hughes took his BSc at Imperial College London, his DPhil at Oxford University, and undertook post-doctoral research at Oxford, Yale and Sussex. He has been at Durham University since 1999, where he is now a Senior Lecturer.
Thomas Hase has been an Associate Professor at Warwick University since 2007. Prior to that, he did his BSc, PhD and post-doctoral research at Durham University.

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Customer Reviews

4.2 out of 5 stars
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Most Helpful Customer Reviews

11 of 12 people found the following review helpful By Everett Ramer on June 28, 2011
Format: Paperback Verified Purchase
I recently reviewed 10 current books on data and error analysis for undergraduate physics majors, and recommend this one by Hughes and Hase. I was looking for a book that students can read and understand on their own, is concise and easily used as a quick reference, is inexpensive, and follows a relatively modern approach. Hughes and Hase meet these criteria. Their book is written in an easy to understand style that uses a "visual" approach to explain concepts and derive formulas (using many thumbnail-sized plots in the margins). I also like the topical sequence: Look at real data before delving into probability. The book takes good departures from tradition by only presenting addition of uncertainties in quadrature and by including a computational approach to uncertainty estimation based on spreadsheets. Missing concepts that I would like to see included are GUM (Guide to the Expression of Uncertainty in Measurement) and bootstrapping. This is the shortest (<150 pages) and least expensive ($35) of the available books.
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3 of 3 people found the following review helpful By LB on January 16, 2013
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I have to agree with the other review. The textbook is inexpensive, well written, filled with examples and graphs, and keeps the math derivations to the bare minimum needed. I like it better than Taylor, which is long, and takes forever to get to the point. Hughes will get to the point immediately. Each chapter is fairly short and nice to read. I don't generally like long chapters for this type of thing, since the concepts are themselves very simple, they should be taught in a simple way, as this book does. There are of course some shortcomings (topics we'd like them to expand on, minor typos), but overall, this is the best book available at this time to teach or learn this kind of material at the undergraduate level.
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2 of 2 people found the following review helpful By S. Haendel on February 7, 2013
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This book can be used for a good introduction to uncertainties in measurements on every level of expertise. Would definitely recommend it.
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