Preface to Second Edition
Preface to First Edition
1. Preliminary Description of Error Analysis
2. How to Report and Use Uncertainties
3. Propagation of Uncertainties
4. Statistical Analysis of Random Uncertainties
5. The Normal Distribution
6. Rejection of Data
7. Weighted Averages
8. Least-Squares Fitting
9. Covariance and Correlation
10. The Binomial Distribution
11. The Poisson Distribution
12. The Chi-Squared Test for a Distribution
John Taylor received his B.A. in math from Cambridge University in 1960 and his Ph.D. in theoretical physics from Berkeley in 1963. He is professor emeritus of physics and Presidential Teaching Scholar at the University of Colorado, Boulder. He is the author of some 40 articles in research journals; a book, Classical Mechanics; and three other textbooks, one of which, An Introduction to Error Analysis, has been translated into eleven foreign languages. He received a Distinguished Service Citation from the American Association of Physics Teachers and was named Colorado Professor of the Year in 1989. His television series Physics for Fun won an Emmy Award in 1990. He retired in 2005 and now lives in Washington, D.C.
"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 text provides a rational, step-by-step introduction to
understanding and estimating random uncertainties in physical
measurements. Although the text is intended primarily for
undergraduate students, I find it useful as well at the research
level, to introduce graduate students to unfamiliar topics in the
study of experimental uncertainties...a high-quality resource
[students] can continue to learn from, even after they
graduate."--Physics Today
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