A student's guide to data and error analysis
"All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the e…
Read More ↓Title Statements
- Full title :A student's guide to data and error analysis / Herman J.C. Berendsen.
Summary
"All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference"--
Read More ↓Edition Statements
- Publication Date:©2011.
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge
- Language:eng
- Publication Date:©2011.
The Physical Object
- Description:1 online resource (xii, 225 pages) : : illustrations
Edition Identifiers
- ISBN:9781139079822, 1139079824, 9781139077538, 1139077538, 9781139082099, 1139082094, 9780511921247, 0511921241, 1107083427, 9781107083424, 1283110903, 9781283110907, 1139075276, 9781139075275, 9786613110909, 6613110906, 1139069500, 9781139069502
- oclc:ocn729244732
- LC Classification:QA275
- Dewey Decimal:511/.43
Table of Contents
Data and error analysis. Introduction -- The presentation of physical quantities with their inaccuracies -- Errors: classification and propagation -- Probability distributions -- Processing of experimental data -- Graphical handling of data with errors -- Fitting functions to data -- Back to Bayes: knowledge as a probability distribution -- Answers to exercises --Appendices. Combining uncertainties -- Systematic deviations due to random errors -- Characteristic function -- From binomial to normal distributions -- Central limit theorem -- Estimation of th varience -- Standard deviation of the mean -- Weight factors when variances are not equal -- Least squares fitting -- Python codes -- Scientific data.
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