| 000 | 02420cam a22002535a 4500 | ||
|---|---|---|---|
| 001 | 16539378 | ||
| 005 | 20160118151000.0 | ||
| 008 | 101116s2011 enka frb f001 0 eng d | ||
| 020 | _a9780521134927 | ||
| 040 |
_aDLC _cDLC _dYDX _dUKM _dYDXCP _dCDX _dBWX _dIUL _dDLC _dEG-ScBUE _beng |
||
| 082 | 0 | 4 |
_a511.43 _222 _bBER |
| 100 | 1 |
_aBerendsen, Herman J. C. _938956 |
|
| 245 | 1 | 2 |
_aA student's guide to data and error analysis / _cHerman J. C. Berendsen. |
| 260 |
_aCambridge ; _aNew York : _bCambridge University Press, _c2011. |
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| 300 |
_axii, 225 p. : _bill. ; _c24 cm. |
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| 500 | _aIndex : p. 220-225. | ||
| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 | _aPart 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. | |
| 520 | _a"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"-- | ||
| 650 | 0 |
_aError analysis (Mathematics) _2BUEsh _939080 |
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| 651 | _2BUEsh | ||
| 653 |
_bENGELC _cAugust2015 _cDecember2015 _cJanuary2016 |
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| 942 | _2ddc | ||
| 999 |
_c20450 _d20422 |
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