The study of uncertainties in physical measurements
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Köp båda 2 för 1144 krThe new chapter on Bayesian statistics is extremely clear and well written, and is another one of John Taylors fabulous expositions. I enjoyed how Taylor develops the subject by using it to answer questions about the effectiveness of a vaccine. Before reading this chapter I wondered what assumptions are needed to derive a numerical value for a vaccines effectiveness, and I also wondered about the data needed and the methods used. Lo and behold, all my questions were answered in this chapter! I definitely will buy the new edition of Error Analysis and I look forward to delving into the Bayesian statistics. -- Mark Semon, Bates College
PART I 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 PART II 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 13. Bayesian Statistics APPENDICES A. Normal Error Integral, I B. Normal Error Integral, II C. Probabilities for Correlation Coefficients D. Probabilities for Chi Squared E. Two Proofs Concerning Sample Standard Deviations Answers to Quick Checks and Odd-Numbered Problems Index