Book contents
- Frontmatter
- Contents
- Preface
- 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
- References
- Answers to exercises
- Part II Appendices
- Part III Python codes
- Part IV Scientific data
- Index
5 - Processing of experimental data
Published online by Cambridge University Press: 05 June 2012
Book contents
- Frontmatter
- Contents
- Preface
- 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
- References
- Answers to exercises
- Part II Appendices
- Part III Python codes
- Part IV Scientific data
- Index
- Type
- Chapter
- Information
- A Student's Guide to Data and Error Analysis , pp. 53 - 70Publisher: Cambridge University PressPrint publication year: 2011