000			02864aam a2200385 a 4500
001			015644062
003			Uk
005			20251117122739.0
008			101116s2011 enka b 001 0 eng
010			_a2010048231
015			_aGBB0A7448 _2bnb
016	7		_a015644062 _2Uk
020			_a9780521119405 (hbk.) : _c£40.00
020			_a0521119405 (hbk.) : _c£40.00
020			_a9780521134927 (pbk.) : _c£14.99
020			_a0521134927 (pbk.) : _c£14.99
040			_aStDuBDS _beng _cStDuBDS _dUk
042			_aukblsr
050	0	0	_aQA275 _b.B43 2011
082	0	0	_a511.43 _222
100	1		_aBerendsen, Herman J. C. _933631
245	1	2	_aA student's guide to data and error analysis / _cHerman J.C. Berendsen.
260			_aCambridge : _bCambridge University Press, _cc2011.
300			_axii, 225 p. : _bill. ; _c24 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
500			_aFormerly CIP. _5Uk
504			_aIncludes bibliographical references and index.
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"-- _cProvided by publisher.
650		0	_aError analysis (Mathematics) _933632
856	4	2	_3Cover image _uhttp://assets.cambridge.org/97805211/19405/cover/9780521119405.jpg
999			_c11245 _d11245