LEADER 01340nam--2200421---450- 001 990001609280203316 005 20050223111807.0 035 $a000160928 035 $aUSA01000160928 035 $a(ALEPH)000160928USA01 035 $a000160928 100 $a20040427d1981----km-y0itay0103----ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aManuale del bibliotecario$eStoria del libro, biblioteconomia, elementi di diritto pubblico e privato, legislazione delle biblioteche$fRenzo Frattarolo, Salvatore Italia$gcon prefazione di Giovanni Spadolini 210 $aRoma$cElia$d1981 215 $a562 p.$d24 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 606 $aBiblioteconomia 676 $a020 700 1$aFRATTAROLO,$bRenzo$0827 701 1$aITALIA,$bSalvatore$0828 702 1$aSPADOLINI,$bGiovanni 801 0$aIT$bsalbc$gISBD 912 $a990001609280203316 951 $aI.2.A. 57(XIII B 41)$b21330 L.M.$cXIII B 959 $aBK 969 $aUMA 979 $aSIAV9$b10$c20040427$lUSA01$h1445 979 $aSIAV9$b10$c20040427$lUSA01$h1447 979 $aSIAV9$b10$c20040427$lUSA01$h1448 979 $aSIAV9$b10$c20040427$lUSA01$h1457 979 $aCOPAT1$b90$c20050223$lUSA01$h1118 996 $aManuale del bibliotecario$9740096 997 $aUNISA LEADER 02827cam a22003014a 4500 001 991002858619707536 008 151119s2011 enka b 001 0 eng d 020 $a9780521134927 (pbk.) 035 $ab14244184-39ule_inst 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Fisica$beng 082 00$a511/.43$222 084 $aLC QA275 084 $a53.0.42 100 1 $aBerendsen, Herman J.C.$0481103 245 12$aA student's guide to data and error analysis /$cHerman J.C. Berendsen 260 $aCambridge ;$aNew York :$bCambridge University Press,$c2011 300 $axii, 225 p. :$bill. ;$c24 cm 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 $a"All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference"--Provided by publisher 650 4$aError analysis (Mathematics) 907 $a.b14244184$b08-06-22$c19-11-15 912 $a991002858619707536 945 $aLE006 53(022)+53.0.6 BER$cC. 1$g1$i2006000176538$lle006$op$pE27.01$q-$rn$so $t1$u1$v0$w1$x0$y.i15808816$z31-05-17 945 $aLE006 53(022)+53.0.6 BER$cC. 2$g1$i2006000176545$lle006$op$pE27.02$q-$rl$s- $t0$u1$v0$w1$x0$y.i15808828$z31-05-17 996 $aStudent's guide to data and error analysis$9254467 997 $aUNISALENTO 998 $ale006$b19-11-15$cm$da $e $feng$genk$h2$i0