LEADER 01099cam0-22003011i-450- 001 990000070540403321 005 20061024122258.0 035 $a000007054 035 $aFED01000007054 035 $a(Aleph)000007054FED01 035 $a000007054 100 $a20020821d1874----km-y0itay50------ba 101 0 $afre 102 $aFR 105 $aaf------001yy 200 1 $aDescription des machines les plus remarquables et les plus nouvelles à l'Exposition de Vienne en 1873$emoteurs, machines-outils, locomotives, appareils diverses$eprecedée d'une notice sur les progrès recents de la metallurgie$fpar Hippolyte Fontaine 210 $aParis$cJ. Baudry$d1874 215 $aXVI, 496 p.$cill., tav.$d24 cm 676 $a621 700 1$aFontaine,$bHippolyte$02895 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000070540403321 952 $a13 AR 23 E 65$b1538$fFINBC 952 $a13 AR 23 D 57$b1510$fFINBC 959 $aFINBC 996 $aDescription des machines les plus remarquables et les plus nouvelles à l'Exposition de Vienne en 1873$9110951 997 $aUNINA LEADER 03513nam 22006372 450 001 9910459698003321 005 20151005020622.0 010 $a1-107-08342-7 010 $a1-107-21310-X 010 $a1-283-11090-3 010 $a1-139-07527-6 010 $a9786613110909 010 $a0-511-92124-1 010 $a1-139-08209-4 010 $a1-139-07753-8 010 $a1-139-07982-4 010 $a1-139-06950-0 035 $a(CKB)2670000000083453 035 $a(EBL)691865 035 $a(OCoLC)729244732 035 $a(SSID)ssj0000525932 035 $a(PQKBManifestationID)11327396 035 $a(PQKBTitleCode)TC0000525932 035 $a(PQKBWorkID)10519722 035 $a(PQKB)10108846 035 $a(UkCbUP)CR9780511921247 035 $a(MiAaPQ)EBC691865 035 $a(Au-PeEL)EBL691865 035 $a(CaPaEBR)ebr10470785 035 $a(CaONFJC)MIL311090 035 $a(EXLCZ)992670000000083453 100 $a20100927d2011|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA student's guide to data and error analysis /$fHerman J.C. Berendsen$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2011. 215 $a1 online resource (xii, 225 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-13492-7 311 $a0-521-11940-5 327 $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. 330 $aAll 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. 517 3 $aA Student's Guide to Data & Error Analysis 606 $aError analysis (Mathematics) 615 0$aError analysis (Mathematics) 676 $a511/.43 700 $aBerendsen$b Herman J. C.$01028734 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910459698003321 996 $aA student's guide to data and error analysis$92444812 997 $aUNINA