Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
Author:John R. Taylor
Edition:2nd Edition
Measurement uncertainty is examined through statistical and analytical methods used in experimental science. It develops tools for quantifying errors, propagating uncertainties, and analyzing data using distributions, fitting techniques, and hypothesis testing, providing a rigorous framework for interpreting experimental results accurately.
Chapters
- Chapter 1: Preliminary Description of Error Analysis→
- Chapter 2: How to Report and Use Uncertainties→
- Chapter 3: Propagation of Uncertainties→
- Chapter 4: Statistical Analysis of Random Uncertainties→
- Chapter 5: The Normal Distribution→
- Chapter 6: Rejection of Data→
- Chapter 7: Weighted Averages→
- Chapter 8: Least-Squares Fitting→
- Chapter 9: Covariance and Correlation→
- Chapter 10: The Binomial Distribution→
- Chapter 11: The Poisson Distribution→
- Chapter 12: The Chi-Squared Test for a Distribution→
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