- Paperback: 327 pages
- Publisher: University Science Books; 2nd edition (August 1, 1996)
- Language: English
- ISBN-10: 093570275X
- ISBN-13: 978-0935702750
- Product Dimensions: 7 x 0.8 x 10 inches
- Shipping Weight: 1.4 pounds (View shipping rates and policies)
- Average Customer Review: 4.7 out of 5 stars See all reviews (67 customer reviews)
- Amazon Best Sellers Rank: #39,466 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements 2nd Edition
Use the Amazon App to scan ISBNs and compare prices.
The Amazon Book Review
Author interviews, book reviews, editors picks, and more. Read it now
Frequently bought together
Customers who bought this item also bought
A high-quality resource [students] can continue to learn from, even after they graduate. --Physics Today
Score a hit! The book reveals the exceptional skill of the author as lecturer and teacher. --The Physics Teacher
About the Author
John Taylor is Professor of Physics and Presidential Teaching Scholar at the University of Colorado in Boulder. He has won numerous teaching awards, served as Associate Editor of the American Journal of Physics, and received an Emmy Award for his television series called "Physics 4 Fun." Taylor is the author of three best-selling textbooks.
Browse award-winning titles. See more
If you are a seller for this product, would you like to suggest updates through seller support?
Top customer reviews
This excellent book gives an elementary overview of the techniques of error analysis that touches on topics such as uncertainty, propagation of errors, and systematic error. Readers will only require a rudimentary background in mathematics and statistics in order to read and study it. Numerous "quick" practice exercises are embedded in the main text, giving readers immediate challenges to their understanding as they read the text. Problem sets accompany each chapter, and they reflect the kinds of problems that one would encounter in real practice.
Error analysis (uncertainty quantification) is certainly the most important activity behind any kind of scientific research and mathematical and simulation modeling. The comparison of results of models to empirical data cannot be done meaningfully without the tools outlined in this book and others. It is therefore very disheartening to find, as the reviewer has on numerous occasions, that any cognizance of errors or uncertainties in modeling and experimental efforts is completely absent. In some contexts, such as research on medical devices and national defense, this omission can be extremely dangerous and actually cause loss of life. The origins of why the practice of error analysis has been forgotten or omitted is unknown, but those individuals who do would gain considerably by a careful study of this book. It would be the most important refresher course that they could take in their professional careers.
The book is divided into two parts. The first few chapters in Part 1 is somewhat elementary. Everything comes together when it comes to the chapter on normal distribution. I guess some people might find the progress of the book a bit slow. On the other hand, I think that even a high school physics student can grab the book and learn how to do error analysis for their experiments by reading the first few chapters. I think that it is a great arrangement as error analysis should be introduced early in physics education. Error analysis is very often an overlooked topic. This book is a gem for physics students.