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003 EG-ScBUE
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008 101116s2011 enka f b f001 0 eng d
020 _a9780521134927
040 _aDLC
_beng
_erda
_cDLC
_dYDX
_dUKM
_dYDXCP
_dCDX
_dBWX
_dIUL
_dDLC
_dEG-ScBUE
082 0 4 _a511.43
_222
_bBER
100 1 _aBerendsen, Herman J. C.,
_eauthor.
_938956
245 1 2 _aA student's guide to data and error analysis /
_cHerman J. C. Berendsen, emeritus professor of physical chemistry, University of Groningen, The Netherlands.
264 1 _aCambridge ;
_aNew York :
_bCambridge University Press,
_c2011.
300 _axii, 225 pages :
_billustrations ;
_c24 cm
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
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"--
650 7 _aError analysis (Mathematics)
_2BUEsh
_939080
651 _2BUEsh
653 _bENGELC
_cAugust2015
_cDecember2015
_cJanuary2016
655 _vReading book
942 _2ddc
_cBB
999 _c20450
_d20422