A student's guide to data and error analysis [E-Book] / Herman J.C. Berendsen.
Berendsen, Herman J. C., (author)
Cambridge : Cambridge University Press, 2011
1 online resource (xii, 225 pages)
Full Text
Table of Contents:
  • Part I. Data and Error Analysis: 1. Introduction; 2. The presentation of physical quantities with their inaccuracies; 3. Errors: classification and propagation; 4. Probability distributions; 5. Processing of experimental data; 6. Graphical handling of data with errors; 7. Fitting functions to data; 8. Back to Bayes: knowledge as a probability distribution; Answers to exercises
  • Part II. Appendices: A1. Combining uncertainties; A2. Systematic deviations due to random errors; A3. Characteristic function; A4. From binomial to normal distributions; A5. Central limit theorem; A6. Estimation of the varience; A7. Standard deviation of the mean; A8. Weight factors when variances are not equal; A11. Least squares fitting
  • Part III. Python codes
  • Part IV. Scientific data.