An Introduction to Error Analysis - Taylor, John R

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Résumé :
John R. Taylor's best-selling text will be released in a new third edition that features Bayesian statistics and updated new chapter-ending problems throughout. Previously translated into nine languages, this brilliant little text introduces the study of uncertainties to lower division science students using familiar examples.
This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments...

Biographie:
John R. Taylor...

Sommaire:
Preface to the Third Edition
Part I.
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
Part II.
Chapter 6. Rejection of Data
Chapter 7. Weighted Averages
Chapter 8. Least-Square 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
Chapter 13. Bayesian Statistics
Appendix A. Normal Error Integral, I
Appendix B. Normal Error Integral, II
Appendix C. Probabilities for Correlation Coefficients
Appendix D. Probabilities for Chi Squared
Appendix E. Two Proofs Concerning Sample Standard Deviations...