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- 2010048231 contributor B11794501.
- 2010048231 created "2011.".
- 2010048231 date "2011".
- 2010048231 date "2011.".
- 2010048231 dateCopyrighted "2011.".
- 2010048231 description "Includes bibliographical references and index.".
- 2010048231 description "Part 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.".
- 2010048231 extent "xii, 225 p. :".
- 2010048231 identifier "0521119405 (hardback)".
- 2010048231 identifier "0521134927 (pbk.)".
- 2010048231 identifier "9780521119405 (hardback)".
- 2010048231 identifier "9780521134927 (pbk.)".
- 2010048231 identifier 9780521119405.jpg.
- 2010048231 issued "2011".
- 2010048231 issued "2011.".
- 2010048231 language "eng".
- 2010048231 publisher "Cambridge ; New York : Cambridge University Press,".
- 2010048231 subject "511/.43 22".
- 2010048231 subject "Error analysis (Mathematics)".
- 2010048231 subject "QA275 .B43 2011".
- 2010048231 tableOfContents "Part 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.".
- 2010048231 title "A student's guide to data and error analysis / Herman J.C. Berendsen.".
- 2010048231 type "text".
