PDF Ebook An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, by John R. Taylor
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An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, by John R. Taylor
PDF Ebook An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, by John R. Taylor
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The need for error analysis is captured in the book's arresting cover shot - of the 1895 Paris train disaster (also available as a wall poster). The early chapters teach elementary techniques of error propagation and statistical analysis to enable students to produce successful lab reports. Later chapters treat a number of more advanced mathematical topics, with many examples from mechanics and optics. End-of-chapter problems include many that call for use of calculators or computers, and numerous figures help readers visualize uncertainties using error bars. "Score a hit! ...the book reveals the exceptional skill of the author as lecturer and teacher...a valuable reference work for any student (or instructor) in the sciences and engineering." The Physics Teacher "This is a well written book with good illustrations, index and general bibliography...The book is well suited for engineering and science courses at universities and as a basic reference text for those engineers and scientists in practice." Strain, Journal of the British Society for Strain Measurement
- Sales Rank: #171684 in Books
- Brand: Brand: University Science Books
- Published on: 1997-03-10
- Original language: English
- Number of items: 1
- Dimensions: 10.26" h x .97" w x 7.24" l, 1.71 pounds
- Binding: Hardcover
- 327 pages
- Used Book in Good Condition
Review
Score a hit! The book reveals the exceptional skill of the author as lecturer and teacher. -- The Physics Teacher
a high-quality resource [students] can continue to learn from, even after they graduate. Physics Today --Physics Today
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.
Most helpful customer reviews
0 of 0 people found the following review helpful.
A gem for physics students
By L
Writing an error analysis book for physics students is a tricky task in my opinion. Physics students just need to know how to calculate. They do not need proofs, but they need to understand the methodologies well enough such that they know which technique to apply. I think this book really hits the sweet spot. Proofs are kept to a minimal, but the explanations are full of insight. Another thing that I like is that the examples are closely related to typical physics experiments, so physics students can easily relate the analysis to their experiments.
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.
2 of 2 people found the following review helpful.
A topic of greatest importance
By Dr. Lee D. Carlson
The contents of this book provide beyond doubt the most important topics an applied mathematician, physicist, engineer, or anyone working in any quantitative discipline can be exposed to. It is also fair to bet that anyone working in these disciplines has encountered these topics early on in their professional careers, as they are usually the first ones presented to incoming freshman in beginning engineering and physics laboratories. When performing elementary laboratory experiments, beginning students find out right away that their results do not match the perfections of textbook equations. Experimental apparatus is never infinitely precise and frequently mistakes are made in experimental work repeatedly and unknowingly by the experimentalist, engineer, or scientist. Errors and uncertainties accompany any experiment that is conducted in the real world, and how to deal with them is the subject of error analysis, which is now called "uncertainty quantification" in more modern parlance. This subject is vast and in many ways very controversial, and modern technological developments have instigated a lot of research in this area.
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.
0 of 0 people found the following review helpful.
I think it's the best and more clear introductory book to error analysis...
By JeepGen
An excellent introduction to error analysis: it's well written, all the ideas are explained at an intuitive level and with an easy-to-understand language; furthermore no mathematical prerequisites of high level are requested. The level is appropriate to undergraduate student, but it remains a very good book for consultation at higher level, too.
Very very good binding and hardcover: it's durable and solid, with an excellent value for money. Remark that on the internal part of the hard cover (the two first and the two last pages) it's present a short summary on the most essential formulas, which are very useful for speedy consultation.
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