A student's guide to data and error analysis
Material type: TextPublication details: NewDelhi: Cambridge University Press, 2011.Description: xii, 225 p. : ill. ; 24 cmISBN:- 9781107617100
- 511.43 22 BER-S
- QA275 .B43 2011
- TEC009000
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books | IIITD General Stacks | Mathematics | 511.43 BER-S (Browse shelf(Opens below)) | Available | 002195 |
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511.4 BRU-A Asymptotic methods in analysis | 511.4 TRE-A Approximation theory and approximation practice | 511.422 PRE-S Splines and variational methods | 511.43 BER-S A student's guide to data and error analysis | 511.5 AGN-G Graph theory : | 511.5 ALD-G Graphs and applications : an introductory approach | 511.5 BAP-G Graphs and matrices |
Includes bibliographical references and index.
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.
"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"--
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